# Wairforretail --- ## Pages - [Wallie](https://wair.mediya.dev/wallie/): Meet Wallie, your digital colleague for inventory Meet Wallie, your digital colleague for inventory Why you need Wallie in your... - [Registration](https://wair.mediya.dev/registration/): Registration form Sunset SAIL cruise for fashion executives Event’s name * Sunset SAIL cruise for fashion executivesThe DACH region x... - [Agenda](https://wair.mediya.dev/agenda/): The WAIR Journey x SPH for the DACH countries Explore cutting-edge strategies driven by vertical managed inventory, connect with industry... - [Home New](https://wair.mediya.dev/home-new/): Revolutionizing global inventory with AI-driven digital employees WAIR is a first of kind agentic AI company for enterprise lifestyle retailers... - [Initial Distributor Bkp](https://wair.mediya.dev/initial-distributor-bkp/): New products, at the right shopfloor with the right amounts, from t he start You never get a second chance... - [Initial Distributor](https://wair.mediya.dev/initial-distributor/): Home Technology Solutions Our digital employees Wallie (Allocator) Suzy (Content creator) See All Skills Initial distribution Replenishment Redistribution 360 inventory... - [Vacancies](https://wair.mediya.dev/vacancies/): Vacancies Deep Learning Research Engineer View Vacancy - [Deep Learning Research Engineer](https://wair.mediya.dev/vacancies/deep-learning-research-engineer/): Deep Learning Research Engineer WAIR is an Amsterdam-based logistics technology company transforming inventory management in the fashion retail sector through... - [The AI Redistributor](https://wair.mediya.dev/the-ai-redistributor/): Making more profit is now a choice you can make By leveraging re-distribution for the right articles at the right... - [Thank you](https://wair.mediya.dev/thanks/): Thank you for your submission! A product description will be emailed to you within 5-10 minutes. Learn more - [Technology](https://wair.mediya.dev/technology/): Forecast GPT-2. Harness the power of deep learning for accurate SKU sales forecasts, Learn how our technology learns from data for superior results - [Vision and Mission](https://wair.mediya.dev/mission-vision/): Our vision is to enhance enterprises, people and the planet with the capability of foresight We aim to democratize time... - [The Masterplan](https://wair.mediya.dev/the-masterplan/): The ability of foresight – (time series, predictive analytics) (By Mitch van Deursen, Founder of WAIR) Masterplan I have always... - [Succes stories](https://wair.mediya.dev/succes-stories/): Succes stories of WAIR Shoeby CASE STUDY August 19, 2023 ONLY FOR MEN CASE STUDY August 19, 2023 DAKA CASE... - [Van Dal](https://wair.mediya.dev/van-dal-mannenmode/): With the AI Replenisher, OFM transitioned from a standard rule-based replenishment process to implementing unique replenishment actions. - [Databank](https://wair.mediya.dev/databank/): See whats happening... WAIR is an innovative retail tech company that develops deep learning models to enhance existing operational processes... - [Thank you](https://wair.mediya.dev/thank-you/): Thank you for connecting with us! Thank you for taking the time to connect with us! Your submission has been... - [AI inventory management](https://wair.mediya.dev/ai-inventory-management/): Experience the new tide of AI inventory management WAIR’s AI replenisher can forecast the target SKU quantities for up to... - [The AI Product Describer](https://wair.mediya.dev/the-ai-product-describer/): Effortlessly describe and publish your entire product content in just a few clicks Product describer input HUMORISTIC ENGLISH SEO OPTIMIZED... - [Partners](https://wair.mediya.dev/partners/): Become a partner of WAIR Integrate deep learning forecasting tosuperpower your inventory processes Find out why Partnerships are our cornerstone.... - [OFM](https://wair.mediya.dev/ofm/): With the AI Replenisher, OFM transitioned from a standard rule-based replenishment process to implementing unique replenishment actions. - [Shoeby](https://wair.mediya.dev/shoeby/): With the AI Replenisher Shoeby is now able to execute a replenishment strategy that boosts the full-price sell-through rate of all products in no time - [Daka](https://wair.mediya.dev/daka/): With the AI Replenisher Daka can now implement a replenishment strategy that significantly increases the full-price sell-through rate for all products. - [The AI Replenisher](https://wair.mediya.dev/the-ai-replenisher/): AI replenisher predicts the target SKU quantities per shopfloor for 7 days ahead. It automatically adjusts inventory levels (min/max) for efficient replenishment. - [FAQ](https://wair.mediya.dev/faq/): Find answers to your questions about Wairforretail on our FAQ page. Learn about our AI and deep learning technology, data privacy and benefits. - [Home](https://wair.mediya.dev/): Discover Wairforretail's AI forecasting for inventory management in fashion. Achieve accurate SKU sales forecasts and dynamic replenishment. - [About us](https://wair.mediya.dev/about-us/): Discover Wairforretail's journey, an innovative retail tech firm using deep learning to revolutionize operational processes in the retail industry - [Contact](https://wair.mediya.dev/contact/): Reach out to Wairforretail via our contact form. Let's enhance your retail operations with our deep learning technology --- ## Posts - [Step into a new world of demand forecasting machine learning](https://wair.mediya.dev/step-into-a-new-world-of-demand-forecasting-machine-learning/): Replenishment accuracy is what we provide through demand forecasting machine learning and it is more critical than ever. The advent... - [7 Ways in which AI demand forecasting boosts your business](https://wair.mediya.dev/7-ways-in-which-ai-demand-forecasting-boosts-your-business/): One of the most transformative technologies aiding retailers in this endeavor is AI demand forecasting. This advanced approach leverages artificial... - [Key inventory performance indicators for retail businesses](https://wair.mediya.dev/key-inventory-performance-indicators-for-retail-businesses/): Learn about the most important inventory performance indicators for retail now and find out what solutions will improve them. - [The inventory allocation deep dive](https://wair.mediya.dev/the-inventory-allocation-deep-dive/): Inventory allocation has changed for good. That’s why this blog will clear up exactly how it has changed. Traditional inventory... - [LaT-PFN: In-context time-series forecasting of product sales patterns leveraging embeddings](https://wair.mediya.dev/forecasting-of-product-sales-patterns/): At WAIR-Research, our primary objective is to develop foundation models for the time series domain, which help us perfect our... - [WAIR.ai acquires Retailisation’s software and assets](https://wair.mediya.dev/wair-ai-acquires-retailisations-software-and-assets/): In a major development, WAIR has acquired the software and assets of Retailisation B. V. , marking a significant step... - [How AI inventory management software is beginning a new era for retail](https://wair.mediya.dev/ai-inventory-management-software/): Accelerate with WAIR's AI inventory management software. Reduce overstock, predict accurately 6 weeks ahead, and boost profitability. Discover the future now! - [Why a store performance dashboard is one of the bottom lines for a fashion company](https://wair.mediya.dev/store-performance-dashboard/): A store performance dashboard is a sophisticated tool designed to distill complex data into actionable insights. Click here to learn more - [AI forecasting tools that are changing the game](https://wair.mediya.dev/ai-forecasting-tools/): Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you... - [How an inventory forecasting software led to tons of increased revenue](https://wair.mediya.dev/inventory-forecasting-software/): The ability to accurately predict inventory needs is more crucial than ever. Inventory forecasting software, leveraging advanced algorithms and artificial... - [Automatic replenishment combined with AI forecasting has just changed the retail market](https://wair.mediya.dev/automatic-replenishment/): One way to ensure better business processes is utilizing automatic replenishment. Read more in this detailed guide on how to do that! - [Learn about the art of smart retail replenishment](https://wair.mediya.dev/retail-replenishment/): The evolution from simple replenishment to smart retail replenishment fueled by AI predictions took a long time. Learn about it's uses today! - [Take a look into our case study on ai for inventory management](https://wair.mediya.dev/ai-for-inventory-management/): To move forward in retail is to use ai for inventory management. But how do you do that? We will give a guide on that in this blog. - [Why the key to revenue lies in anticipation inventory](https://wair.mediya.dev/anticipation-inventory/): The key to revenue is anticipation inventory and there are very little tools that actually deliver. Check out WAIR to unlock more revenue. - [Streamline your operations with a powerful inventory management dashboard](https://wair.mediya.dev/inventory-management-dashboard/): A powerful inventory management dashboard can boost replenishment and forecasting accuracy. Why not make more revenue? - [Overstock and understock. What are they and how do you prevent them?](https://wair.mediya.dev/overstock-and-understock/): Overstock and understock are major issues in retail. In this blog we will unravel the best ways to prevent it! - [Automated inventory management has just seen a HUGE shift and yes, it has to do with AI.](https://wair.mediya.dev/automated-inventory-management-huge-shift/): Learn how new shifts in inventory management are created by AI. Read more here! - [Stop using your old ways of replenishment planning!](https://wair.mediya.dev/replenishment-planning/): The time is of using inefficient ways of replenishment planning is over. Learn more about our way of making retail better through AI! - [The future of shopping unveiled through retail automation](https://wair.mediya.dev/retail-automation/): Implementing AI into retail automation has never been more impactful. Learn more now in this deep dive into it. - [Achieve effortless inventory management using auto replenishment solutions](https://wair.mediya.dev/auto-replenishment/): Struggling with replenishment? Feeling the retail margins creep up on you? Learn now how auto replenishment could help you! --- # # Detailed Content ## Pages - Published: 2025-06-09 - Modified: 2025-07-29 - URL: https://wair.mediya.dev/wallie/ Meet Wallie, your digital colleague for inventory Meet Wallie, your digital colleague for inventory Why you need Wallie in your team The power of Agentic AI Imagine: 100 stores, 500 styles, 6 sizes per style > 300. 000 decisions > every day. Retailers face millions of allocation decisions on a continuous basis. Wallie processes them all in real time — faster and smarter than any human ever could. It's revolutionizing our industry. Want to see me in action? Book a live demo here. Leading forecastingI can understand and make decisions for your complete assortment up to 12 weeks ahead Game changing automationFrom executing action to monitoring decisions. The only thing I expect from you is monitoring key kpi's and managing the outliers Continuous optimal allocationAll product lifecycle phases can be completely managed by me. Initial allocation, Replenishment and Redistribution A clear business caseI have proven that I will substiantially lower labor costs while strongly improving revenue and margin. Making me a P&L no brainer AI AgentBe a leader in the world of agentic AI while impacting net results immediately Want to see me in action? Book a live demo here. All the product lifecycles explained in 1 minute Analyse, Predict, and Act. Every single day. https://youtu. be/KJezhKzZGY4 Wallie's skills in detail Every article optimised from the start Initial distribution See the details here Every day the ideal state of inventory Replenishment See the details here Optimising product without a single discount Redistribution See the details here Hear more from people... --- - Published: 2025-05-26 - Modified: 2025-05-29 - URL: https://wair.mediya.dev/registration/ Registration form Sunset SAIL cruise for fashion executives Event’s name * Sunset SAIL cruise for fashion executivesThe DACH region x SPH-AGUKI edition with Patchworks & Cogent2 Full name * × Add person Email address * Phone number * Company name Options Dietary requirements Breakfast AI@Work lecture 5-star hotel room Number of hotel rooms Do you want to participate other events? Yes No Morning Walk to the Sailboat Submit --- - Published: 2025-05-21 - Modified: 2025-09-03 - URL: https://wair.mediya.dev/agenda/ The WAIR Journey x SPH for the DACH countries Explore cutting-edge strategies driven by vertical managed inventory, connect with industry leaders, and discover how AI is transforming merchandise management. All during an immersive two-day event in Amsterdam. The next two-day WAIR Journey will take place on: June 26 & 27, 2025 Detailed information and schedule for the event Event’s name * Sunset SAIL cruise for fashion executivesThe DACH region x SPH-AGUKI edition with Patchworks & Cogent2 Full name * × Add person Email address * Phone number * Company name Options Dietary requirements Breakfast AI@Work lecture 5-star hotel room Number of hotel rooms Do you want to participate other events? Yes No Morning Walk to the Sailboat Submit We’re excited to invite you to the WAIR and SPH event in Amsterdam. This page provides all the key details you need before registering, including the preliminary schedule for the two event days. Please note that the schedule is subject to change. WAIR will cover all on-site expenses during The WAIR Journey, including lunches, dinner, and local transfers. Participants are responsible for arranging and covering their own travel to Amsterdam. We recommend arriving by train or plane. Hotel accommodation can be arranged through WAIR at the 5-star Hotel Amrâth Amsterdam (Het Scheepvaarthuis), located at Prins Hendrikkade 108. Feel free to reach out if you would like assistance with your booking. Join us for two inspiring days dedicated to innovation in merchandise management. Discover firsthand how leading retailers are successfully leveraging AI on-site... --- - Published: 2025-01-13 - Modified: 2025-01-15 - URL: https://wair.mediya.dev/home-new/ Revolutionizing global inventory with AI-driven digital employees WAIR is a first of kind agentic AI company for enterprise lifestyle retailers See Wallie's full video Keep up with usGet news, photos, events and business updates Sign up Keep up with usGet news, photos, events and business updates Sign up Trusted and Employed by global leaders Our forecast
ForecastGPT-2. 5 Demographics, images, weather, geographies, seasonality, discounts, and over 100 relevant features. The global unified forecasting model understands all essential retail elements in one accessible standard. See all features Current Forecast accuracy 0 % 51% Overprediction 0. 4% Under prediction WAIR Forecast accuracy 0 % 4% Overprediction 0. 4% Under prediction What it means for your business 5% revenue 5% margin 10% lower inventory levels 95% automated A modern supply chain 5% revenue 5% margin 10% lower inventory levels 95% automated A modern supply chain 5% revenue 5% margin 10% lower inventory levels 95% automated A modern supply chain jQuery(function{jQuery('. marquee-hsas-shortcode-14'). marquee({allowCss3Support: true,css3easing: 'linear',easing: 'linear',delayBeforeStart: 2000,direction: 'left',duplicated: true,duration: 28000,gap: 0,pauseOnCycle: true,pauseOnHover: true,startVisible: true});}); Yes Please, Sign me up Our digital employees Manages continuously the optimal execution of all allocation processes Manages all product related digital content assets WallieSuzie Initial distribution Re-distribution Replenishment Global inventory insights Employed to handle all complex tasks for you Initial distribution Re-distribution Replenishment Global inventory insights Generating tags Generate product descriptions Generate titles and meta titles Translate to all languages Employed to handle all complex tasks for you Generating tags Generate product descriptions Generate titles and meta titles Translate to... --- - Published: 2024-11-07 - Modified: 2024-11-07 - URL: https://wair.mediya.dev/initial-distributor-bkp/ New products, at the right shopfloor with the right amounts, from t he start You never get a second chance to make a first impression. Scroll to discover Challenge Balancing maximal potential while managing overstocks and stockouts our Solution The AI is trained to penalize stockouts while allowing a controlled amount of overstock for a set number of weeks of cover during a product’s initial phase. This ensures that the product and shopfloor combination reaches its maximal potential. Challenge Employees are unable to customize initial distribution for each shopfloor/product combination. our Solution The AI unlocks a new skillset, enabling precise, tailored calculations for each product and shopfloor combination using the latest data, simplifying millions of potential scenarios into best-practice decisions. Challenge Low forecast accuracy due to sparce data our Solution The AI analyses the product photo, your latest shopfloor behavior, and market trends through our unified model strategy, we ensure the best possible initial accuracy. Current challenges and solvements of the initial distribution Challenge Balancing maximal potential while managing overstocks andstockouts our Solution The AI is trained to penalize stockouts while allowing a controlled amount of overstock for a set number of weeks of cover during a product’s initial phase. This ensures that the product and shopfloor combination reaches its maximal potential. Challenge Employees are unable to customize initial distribution for each shopfloor/product combination. our Solution The AI unlocks a new skillset, enabling precise, tailored calculations for each product and shopfloor combination using the latest data, simplifying millions of potential... --- - Published: 2024-10-23 - Modified: 2024-12-02 - URL: https://wair.mediya.dev/initial-distributor/ Home Technology Solutions Our digital employees Wallie (Allocator) Suzy (Content creator) See All Skills Initial distribution Replenishment Redistribution 360 inventory analytics See All Skills Generating tags & features Generating titles and meta titles Generating product descriptions Translation to 100 languages See All The AI Replenisher The AI Redistributor The AI Product Describer Partners About Us Mission and Vision The Masterplan Contact Press Research Login Get a demo New products, at the right shopfloor with the right amounts, from t he start You never get a second chance to make a first impression. Scroll to discover Challenge Balancing maximal potential while managing overstocks and stockouts our Solution The AI is trained to penalize stockouts while allowing a controlled amount of overstock for a set number of weeks of cover during a product’s initial phase. This ensures that the product and shopfloor combination reaches its maximal potential. Challenge Employees are unable to customize initial distribution for each shopfloor/product combination. our Solution The AI unlocks a new skillset, enabling precise, tailored calculations for each product and shopfloor combination using the latest data, simplifying millions of potential scenarios into best-practice decisions. Challenge Low forecast accuracy due to sparce data our Solution The AI analyses the product photo, your latest shopfloor behavior, and market trends through our unified model strategy, we ensure the best possible initial accuracy. Current challenges and solvements of the initial distribution Challenge Balancing maximal potential while managing overstocks andstockouts our Solution The AI is trained to penalize stockouts while allowing a... --- - Published: 2024-08-15 - Modified: 2024-08-15 - URL: https://wair.mediya.dev/vacancies/ Vacancies Deep Learning Research Engineer View Vacancy --- - Published: 2024-08-15 - Modified: 2024-08-15 - URL: https://wair.mediya.dev/vacancies/deep-learning-research-engineer/ Deep Learning Research Engineer WAIR is an Amsterdam-based logistics technology company transforming inventory management in the fashion retail sector through AI. Our flagship product, the AI Forecaster, integrates seamlessly with existing enterprise resource planning systems (ERP) as a software as a service (SaaS) add-on, providing precise inventory adjustments on demand. By harnessing advanced time-series analysis and deep learning, WAIR automates and optimizes existing logistic processes like initial distribution, replenishment, and redistribution, reducing waste and boosting profitability. We are dedicated to democratizing advanced AI, empowering businesses of all sizes to compete effectively. Our unique “stronger together” approach, enabled by our cross-client data pooling methodology, reveals patterns and insights that individual retailers cannot uncover alone, driving unprecedented efficiency and strategic advantage. Become part of our ambitious team at a pivotal moment as we transition from startup to scale-up, and contribute to the next wave of AI-driven transformation in retail logistics. • Apply now Research Team As a member of WAIR’s research team, you will be at the forefront of our AI strategy, driving the innovation that shapes the future of our products. Our team operates on a projectbased approach, alternating applied R&D – such as developing segmentation strategies for product images – with more fundamental scientific research, as demonstrated in publications like this one, where we approach forecasting with in-context learning. With the autonomy to set our own research agenda, you’ll have the unique opportunity to steer the AI vision of the company while working on projects that directly influence the industry.... --- - Published: 2024-05-30 - Modified: 2024-06-11 - URL: https://wair.mediya.dev/the-ai-redistributor/ Making more profit is now a choice you can make By leveraging re-distribution for the right articles at the right time Forecasting 6 weeks ahead to identify those articles ready for redistribution. Every night, the AI Redistributor systematically evaluates all SKU's and forecasts 6 weeks ahead to identify those articles ready for redistribution. It assesses not only articles in the right lifecycle stage but also evaluates their potential business value Back 2 warehouse When inventory levels in warehouses begin to deplete while shopfloors with no demand still hold stock, you start to initiate redistribution. It clears out stock from underperforming shopfloors and calls them back to the warehouse so they can be steered to the channels and shopfloors who do hold demand. Store 2 store At the end of each product lifecycle, 80% of shopfloors experience significant gaps in availability, resulting in unsold inventory. To address this issue, you choose to redistribute the leftover sizes from these shopfloors directly to the top-performing shopfloors where demand still exists, allowing for better showcasing of these products and pushing end stock to a maximum level. https://wair. mediya. dev/wp-content/uploads/2024/05/Header-Img-01. mp4 Making more profit is a choice you make. leveraging re-distribution for the right articles Every night, the AI Redistributor systematically evaluates all SKU's and forecasts 6 weeks ahead to identify those articles ready for redistribution. It assesses not only articles in the right lifecycle stage but also evaluates their potential business value to the companyhttps://wair. mediya. dev/wp-content/uploads/2024/06/2_3-v2. mp4 Making more profit is a choice... --- - Published: 2024-03-29 - Modified: 2024-03-29 - URL: https://wair.mediya.dev/thanks/ Thank you for your submission! A product description will be emailed to you within 5-10 minutes. Learn more --- > Forecast GPT-2. Harness the power of deep learning for accurate SKU sales forecasts, Learn how our technology learns from data for superior results - Published: 2024-03-06 - Modified: 2024-03-16 - URL: https://wair.mediya.dev/technology/ The AI revolution ForecastGPT-2. 5 is WAIR's most advanced system We understand that explaining deep learning AI is difficult. The technology is highly abstract, requiring extensive knowledge in both mathematics and AI. However, the market has proven that the benefits of deep learning AI over traditional methods are vast and are seen as the biggest game changer of the coming decades. Traditional methods such as rules, algorithms, or basic machine learning are not and won't be able to forecast this accurate on SKU level. Let's visualize these differences and their implications: 8 key differences between classical and deep learning forecasting 01 Intelligence potential02 Data processing03 Data diversity04 Features05 Error & bias 06 Time saving07 Multi purpose08 Learning capability Old vs the New way Intelligence Potential Think of traditional forecasting as a solitary light bulb, its reach limited by the data it can access, restricting its insights to a single business’s patterns. Our unified approach is like a network of light bulbs, collectively brightening the room. This isn’t just pooling data from numerous businesses into a potent dataset, it’s unlocking vast intelligence potential. Our model, armed with millions of parameters, deciphers complex patterns, learns from diverse businesses’ experiences, and adapts to new trends and market changes. The model learns from collective data, to understand clearly the client-specific environments. Decisions are based solely on the client’s own data, ensuring privacy. • The old way • The WAIR way The future of forecasting Data processingand calculation Traditional methods treat datasets separately, processing their... --- - Published: 2024-03-05 - Modified: 2024-03-14 - URL: https://wair.mediya.dev/mission-vision/ Our vision is to enhance enterprises, people and the planet with the capability of foresight We aim to democratize time series AI and predictive intelligence, enabling every enterprise and individual to achieve unparalleled efficiency, productivity, and effectiveness. Leading to a more flexible and adaptive world (lower risk, higher output) Quantitatively this will lead to: 1. Higher profits for enterprises By leveraging more qualitative decisions on scale (margins), hyper automation (costs reduction) 2. A more sustainable planet By making enterprises more efficient and thereby reducing waste 3. Greater happiness for individuals Boring, repetitive and error-prone work is for the old days. The new generations want challenging, purposeful work. Welcome to the era ofintelligence! Mission 0-2 years Our mission is to revolutionize existing retail processes through the integration of AI agents designed to make decisions on your behalf. Our goal is not only to automate 90% of decision-making but also dramatically enhance the decision quality. Making each enterprise hyper dynamic by pro-actively responding to ever-changing micro and macro events, based on the consumer demand and product behavior. Maximizing profitability, unlocking new capabilities and changing the boring and unscalable work. Our Teams AI Research AI Applied Business solutions Infrastructure Sales Marketing HR Finance Our Teams --- - Published: 2024-03-01 - Modified: 2024-05-28 - URL: https://wair.mediya.dev/the-masterplan/ The ability of foresight – (time series, predictive analytics) (By Mitch van Deursen, Founder of WAIR) Masterplan I have always admired people with foresight, not paranormal but people who can tell what is going to happen next, next week or next month, and are obviously accurate. For some reason these people understand the dynamics of certain situations or tasks. Highly experienced people, specialist workers or people with an extraordinary analytical mind are up to these tasks. What if we could democratize that ? What if we could look ahead in time for specific things or situations ? What if we could anticipate earlier, what is most likely to happen next ? And what are we going to do with that knowledge ? Are we then going to change or adapt our faith ? Science tells us that we, humans, are very good at pattern recognition, learning and adapting to what we have learned and being creative or out of the box. To foresee very well the brain needs to be consistent, highly focused, and absolutely rational. It needs to process very large amounts of data quickly, see the big picture whilst remembering the details. All things a brain is bad at. But a major added value in life. I believe that we will be able to democratize this special human skill for the benefit of all. Enabling a huge positive change on many elements in life. 1. The company Global ecosystems are under pressure. I believe that positively affecting the... --- - Published: 2024-01-26 - Modified: 2024-07-04 - URL: https://wair.mediya.dev/succes-stories/ Succes stories of WAIR Shoeby CASE STUDY August 19, 2023 ONLY FOR MEN CASE STUDY August 19, 2023 DAKA CASE STUDY August 19, 2023 Van Dal mannenmode CASE STUDY January 23, 2024 --- > With the AI Replenisher, OFM transitioned from a standard rule-based replenishment process to implementing unique replenishment actions. - Published: 2024-01-22 - Modified: 2024-01-26 - URL: https://wair.mediya.dev/van-dal-mannenmode/ January 23, 2024 Van Dal mannenmode (menswear) reduced their understock with > 90 % The Challenge Van Dal used to employ a traditional static push strategy, where all stores received identical stock replenishment. Now, they've transitioned to a hyper-personalized approach, optimizing stock levels for each SKU and store based on actual daily customer demand. The Solution Van Dal transitioned from a push strategy to a pull strategy by harnessing the power of WAIR's AI Replenisher. This shift allowed them to fine-tune stock levels based on customer demand, utilizing highly accurate sales forecasts and seamless ERP integration. As a result, they strategically allocate stock, enhance sell-through rates, decrease markdowns, increase turnover, and minimise waste. The Results Traditional vs AI ReplenisherForecast accuracy: 58% vs 95%Overprediction: 39% vs 4%Underprediction: 3% vs 0%An overall improvement of 164% About van Dal mannenmode (menswear): Van Dal mannenmode, a Dutch men's fashion retailer, features 36 stores across the Netherlands and has ambitious growth plans. They offer a complete package for every man by providing clothing styles, shoes, and accessories with various fits and sizes. Since its establishment in 1951, a strong commitment to service and expert advice has been paramount. In the year 2022 alone, Van Dal introduced a staggering 1,100 new styles of which 650 Private Label, a testament to their dedication to staying on the cutting edge of fashion trends. Boasting a vast array of both casual and business attire, Van Dal Mannenmode offers men the opportunity to explore their unique fashion preferences in an... --- - Published: 2024-01-16 - Modified: 2024-06-25 - URL: https://wair.mediya.dev/databank/ See whats happening... WAIR is an innovative retail tech company that develops deep learning models to enhance existing operational processes with intelligent capabilities. Blog Categories AI Data Insights Product descriptions Replenish stock Uncategorized AI, Insights, Replenish stock Read full article AI, Insights, Replenish stock Read full article AI, Insights, Replenish stock Read full article AI, Insights, Replenish stock Read full article AI, Insights, Replenish stock Read full article --- - Published: 2024-01-08 - Modified: 2024-01-08 - URL: https://wair.mediya.dev/thank-you/ Thank you for connecting with us! Thank you for taking the time to connect with us! Your submission has been received, and we greatly appreciate your interest. We're thrilled to have you on board. Want to know more about our technology? Learn more --- - Published: 2023-12-06 - Modified: 2024-04-05 - URL: https://wair.mediya.dev/ai-inventory-management/ Experience the new tide of AI inventory management WAIR's AI replenisher can forecast the target SKU quantities for up to a week ahead. This is possible with a full integration into your current ERP system. Take a look into reducing waste, improving margins and becoming more efficient. Learn more Our evolutionary technology WAIR has the most advanced AI ForecastGPT-2. 5 Key differences Key differences between classical and deep learning forecasting are: intelligence potential, data processing, data diversity, features, error and bias reduction, time saving, multi-purpose utility, and enhanced learning capability. Old way WAIR way Parameters Features Explore now AI replenisher Predicts the target SKU quantities 7 days ahead WAIR's AI Replenisher is a sophisticated tool designed to revolutionize retail inventory management. It predicts target SKU quantities for each shop floor up to 7 days ahead and automatically adjusts inventory levels within your software for efficient replenishment . This system transforms inventory management by leveraging accurate sales forecasts to strategically allocate stock, enhancing forecast accuracy by 29% . Utilized by brands like Shoeby and Daka, it makes SKU-level sales predictions for their physical stores and customizes replenishment strategies. The ERP system adjusts stocking limits based on customer demand trends and sales performance . WAIR's approach transcends the limitations of isolated models. By harnessing large, diverse datasets, it increases accuracy and minimizes bias. This pooled industry data approach is underpinned by the GPT-2. 5 model, which incorporates over 100 features and millions of parameters, leveraging both external and internal data for insightful... --- - Published: 2023-11-02 - Modified: 2024-11-19 - URL: https://wair.mediya.dev/the-ai-product-describer/ Effortlessly describe and publish your entire product content in just a few clicks Product describer input HUMORISTIC ENGLISH SEO OPTIMIZED 2-10 sentences CONVERSATIONAL Creative REBELLIOUS Product name Hooded Jacket Urban Gray Straight-Fit Ocean Twirl Dress Product description: Introducing our bold and badass “Windbreaker” This jacket takes Casual to a whole new level, turning heads with its Quilted pattern that is as stylish as it is cozy. With its regular fit and Straight-sleeve design, this jacket is made for those who dare to be different But don’t let its good looks fool you! The Windbreaker is built to withstand the harshest winter conditions with its long sleeves and Windbreaker material. So go ahead, conquer the chilly streets with confidence, Stay warm and look cool, because you never know when Mother Nature decides to unleash her icy wrath! Meet the 'Urban Sophisticate Jeans' – the epitome of effortless elegance for a contemporary crowd. These high-waisted, straight-fit jeans in a sophisticated gray are your wardrobe's new best friend. The Full-length design elongates your silhouette, offering a flattering and comfortable fit that moves with you, whether you're conquering the boardroom or unwinding on the weekend. Free of rips and excessive detailing, they're the canvas for your style statements, Pairing seamlessly with everything from a crisp blazer to your favourite cozy sweater. Step into these jeans and step up your casual wear with a touch of grown-up chicHey cool cat! Are you ready to be the queen of the playground with the twirliest, swirliest Dress... --- - Published: 2023-10-05 - Modified: 2024-03-13 - URL: https://wair.mediya.dev/partners/ Become a partner of WAIR Integrate deep learning forecasting tosuperpower your inventory processes Find out why Partnerships are our cornerstone. We seek allies who recognise AI's transformative impact on retail, and envision the future as we do. Through our AI integration program, partners can offer retailers and brands acces to advanced technology and differentiation, without disrupting existing workflows. Our expertise Specialized AI integration program for retail to supercharge ERP and inventory processes The value we offer forevery partnership: Stay at the forefront oftechnological advancement Usually, only the industry leaders like Walmart and Shein have the amounts of data and investment capability to enable deep learning AI. We are levelling the playing by offering you world's leading forecasts accuracy based on huge amounts of proprietary data. Integrate WAIR's AI in every operation Our AI seamlessly integrate into current operations. No major changes, no disruptions - just a straightforward path to make static processes into dynamic processes, enabling highly profitable growth for clients with existing workflows Benefit from unparalleledforecasting accuracy We promise sales forecasts so accurate, you won't find the same level of accuracy in any other usual methods. Transform into an AI-driven,self-learning powerhouse WAIR transforms businesses by connecting it to a powerful network that amplifies their data capabilities. We aggregate the data from all clients, partners and global third-party databases, solving common issues like insufficient and sparse data. More partners, more data, better forecasting, more growth for everyone. Growth together, using WAIR's startup spirit Tap into our startup energy and love... --- > With the AI Replenisher, OFM transitioned from a standard rule-based replenishment process to implementing unique replenishment actions. - Published: 2023-08-14 - Modified: 2024-01-26 - URL: https://wair.mediya.dev/ofm/ August 21, 2023 OFM boost forecast accuracy by 29,28% The Challenge OFM was using a traditional replenishment system to keep the initial distribution intact without adapting stock levels based on demand. The Solution OFM transformed their stock management with WAIR's AI Replenisher, leveraging accurate sales forecasts and seamless ERP integration to strategically allocate stock, improve sell-through rates, and achieve significant growth. The Results Traditional vs AI ReplenisherForecast accuracy: 66% vs. 95%Overprediction: 34% vs 5%Underprediction: 0% vs. 0%AmountAmount increase of SKUs rightfully predicted: 299. 000 About OFM OFM (Only For Men) is a popular Dutch men’s fashion retailer with 21 large stores and a webshop. OFM is a convenient one-stop shop where men can find outfits and accessories for any occasion. Some stores even offer services like haircuts and a place to relax with a beer. OFM sells 321k items a year of the relevant seasons (in regular stores), with 5. 2k styles and 25k SKUs. The Challenge OFM was using a traditional replenishment system that was not efficient in maximising sell-through rates. The system set stock levels (minimum and maximum) based on the initial distribution of products and maintained those levels throughout the season. However, this system did not consider how well items performed in different stores. This led to a stock push strategy while a pull strategy based on demand was preferred. As a result, the central warehouse was often out of stock for certain products and many stores there was clear overstock or understock. This led to the... --- > With the AI Replenisher Shoeby is now able to execute a replenishment strategy that boosts the full-price sell-through rate of all products in no time - Published: 2023-08-14 - Modified: 2024-01-26 - URL: https://wair.mediya.dev/shoeby/ August 21, 2023 Shoeby boosts revenue by 2. 96% The Challenge Shoeby was using a traditional replenishment system and found it hardly impossible to continuously optimize stock allocation manually across all stores and channels. The Solution Shoeby uses WAIR’s AI Replenisher to make SKU-level sales predictions for the brand’s 240 physical stores. Min/max stocking limits are automatically adjusted in the ERP based on trends in customer demand and sales performance. The Results 4% increase in inventory turnover 2% reduction in end-stock 3% growth in total revenue Based on 30% replenishment stock About SHOEBY Shoeby is an international omnichannel fashion retail brand. Shoeby has 240 stores located across the Netherlands and Germany, online shops and it sells its products on marketplaces. Founded in 1981, the company helps customers discover affordable, stylish clothing that matches their personal taste. The brand sells 4. 5 million items a year, with 13k different styles and 48k SKUs, providing a variety of options to ensure shoppers can always find their next favorite addition to their wardrobe. The Challenge Shoeby was using a traditional replenishment system that could not let the team work as efficiently as they wanted to. Stock levels (min/max) were based on the initial distribution of the product and replenishment was set to maintain these initial levels throughout the whole season. This system could not take into account how well items performed at different stores, which was especially frustrating when dealing with limited collections where the same SKU would be in-demand at one location... --- > With the AI Replenisher Daka can now implement a replenishment strategy that significantly increases the full-price sell-through rate for all products. - Published: 2023-08-14 - Modified: 2024-01-26 - URL: https://wair.mediya.dev/daka/ August 21, 2023 Daka reduced overstock by 47% The Challenge Daka's traditional replenishment system caused stockouts in some stores, excessive inventory in others, leading to broken size arcs, lost revenue, and an unsatisfactory customer experience. The Solution Daka utilises WAIR's AI Replenisher to forecast sales at the SKU level for its 18 physical stores, allowing the implementation of customised replenishment strategies. The ERP system automatically adjusts the minimum and maximum stocking limits based on customer demand trends and sales performance. The Results Traditional vs AI ReplenisherForecast accuracy: 49% vs. 96%Overprediction: 51% vs 4%Underprediction: 0% vs. 0%Amount increase of SKUs rightfully predicted: 299. 000 About Daka Daka is a popular sports retailer in the Netherlands. It operates 18 stores located across the country and has an online shop. Daka offers the most comprehensive and best selection of sports and lifestyle articles. Daka sells 636 thousand products of the relevant seasons a year with 8k different styles and 35k SKUs, providing a variety of options to ensure shoppers can always find what they need, to enjoy their sports even more. The Challenge Consequently, the central warehouse experienced stockouts, unable to replenish empty stores, while other stores had excessive inventory. Leading to mid term stockout in season. This necessitated the redistribution of inventory, resulting in a costly and time-consuming process The Solution Daka implemented the AI Replenisher, equipped with a fashion retail-specific Deep Learning model, to accurately predict and address the seasonal influences on their sales. This forecast is made with WAIR’s Deep... --- > AI replenisher predicts the target SKU quantities per shopfloor for 7 days ahead. It automatically adjusts inventory levels (min/max) for efficient replenishment. - Published: 2023-07-29 - Modified: 2024-07-31 - URL: https://wair.mediya.dev/the-ai-replenisher/ GUARANTEED 6x your ROI By exactly matching your stock with customer demand The AI replenisher predicts up to 96% accurate the target SKU quantities per shopfloor until your next replenishment cycle. It automatically adjusts the inventory levels. Transforming your static inventory into dynamic based an actual demand Replenishment method: Static Dynamic Store A Worst performing store Week 1 2 3 4 XS S M L 2 2 2 2 3 3 3 3 3 3 3 3 2 2 2 2 Week 1 2 3 4 XS S M L 2 2 1 1 3 2 2 1 3 2 1 1 2 1 1 1 Replenishment method: Static Dynamic Store B Best performing store Week 1 2 3 4 XS S M L 2 2 2 2 3 3 3 3 3 3 3 3 2 2 2 2 Week 1 2 3 4 XS S M L 2 2 3 4 3 4 4 5 3 2 4 4 2 2 2 3 Replenishment method: Static Dynamic Store A Worst performing store Week 1 2 3 4 XS S M L 2 2 2 2 3 3 3 3 3 3 3 3 2 2 2 2 Week 1 2 3 4 XS S M L 2 2 1 1 3 2 2 1 3 2 1 1 2 1 1 1 The results after one seasondynamic replenishment Worst performing store 8 items reduced 70% sell through rate Best performing store + 16 items added 70% sell through... --- > Find answers to your questions about Wairforretail on our FAQ page. Learn about our AI and deep learning technology, data privacy and benefits. - Published: 2023-06-19 - Modified: 2024-03-16 - URL: https://wair.mediya.dev/faq/ Our help center. There you will find the answers to most questions. 1 PARTNER/CONTACT 2 ROI / BENEFITS 3 ONBOARDING 4 ABOUT WAIR / products ABOUT WAIR / products What is WAIR? WAIR is a company that leverages AI and deep learning technology to provide accurate SKU demand forecasts for the fashion industry. Our services range from forecasting-as-a-service, replenishment, channel reservation and stock redistribution to initial distribution. What is WAIR’s roadmap? Currently, we have a fully developed solution called the AI replenisher, which is ready to be implemented for replenishment purposes. Moving forward, our roadmap includes building solutions for “Initial distribution,” “Redistribution,” and “Channel Reservation/allocation. ” These solutions aim to optimize sales margins and revenue by determining the ideal channel (store, webshop, or marketplace) for selling a specific SKU. Subsequently, we plan to develop solutions such as “Dynamic Pricing” and provide support for intelligence-driven production and procurement processes. What does WAIR currently have available, and for who? WAIR specializes in creating an advanced deep learning AI model, known as ForecastGPT-2. 5, to improve the ROI of retail business, brands, and ecosystem partners in fashion. This model generates raw demand forecasts up to 6 weeks, on every aggregation level. Therefore, we currently offer 2 possibilities in using these forecasts: 1) forecasting-as-a-serice via our API and 2) the AI replenisher. The AI replenisher: Forecasts generated by the model, are translated into stock level recommendations for the next 7 days, and automatically integrated into the client’s ERP. This ensures the right amount of... --- > Discover Wairforretail's AI forecasting for inventory management in fashion. Achieve accurate SKU sales forecasts and dynamic replenishment. - Published: 2023-05-24 - Modified: 2024-06-26 - URL: https://wair.mediya.dev/ Building intelligentsystems for retail Current performance 0 % Forecast accuracy 0 % Overprediction 0 % Underprediction WAIR performance 0 % Forecast accuracy 0 % Overprediction 0 % Underprediction Trusted by leading Retailers & Brands jQuery(function{jQuery('. marquee-hsas-shortcode-97'). marquee({allowCss3Support: true,css3easing: 'linear',easing: 'linear',delayBeforeStart: 2000,direction: 'left',duplicated: true,duration: 28000,gap: 0,pauseOnCycle: true,pauseOnHover: true,startVisible: true});}); jQuery(function{jQuery('. marquee-hsas-shortcode-15'). marquee({allowCss3Support: true,css3easing: 'linear',easing: 'linear',delayBeforeStart: 2000,direction: 'right',duplicated: true,duration: 28000,gap: 0,pauseOnCycle: true,pauseOnHover: true,startVisible: true});}); You can rebuild your whole business with accurate forecasting WAIR takes retail inventory management to a higher level with deep Learning demand forecasting. Solving the limitations of standard forecasting methods, we deliver on the promise of the newest technology. We bring together retailers, brands, and ecosystem partners in their need of transforming towards an AI-driven business. It all starts with exceptionally precise SKU-shopfloor or channel demand forecasts, ranging from a single day to a 6-week span. This helps multiple use cases such as replenishment, channel reservation, and stock redistribution. WAIR's demand forecasts are translated to stock-level recommendations for initial distribution, replenishment and redistribution. We move your processes from static into highly dynamic. Based on the reality of your customer demand. Forecast per aggegration level Brand Shopfloor Store Channel Category Item SKU jQuery(function{jQuery('. marquee-hsas-shortcode-22'). marquee({allowCss3Support: true,css3easing: 'linear',easing: 'linear',delayBeforeStart: 2000,direction: 'left',duplicated: true,duration: 11000,gap: 0,pauseOnCycle: true,pauseOnHover: true,startVisible: true});}); LEARN MORE Forecast per moment in time 5 Weeks Month 3 Weeks 2 Weeks Week Day jQuery(function{jQuery('. marquee-hsas-shortcode-29'). marquee({allowCss3Support: true,css3easing: 'linear',easing: 'linear',delayBeforeStart: 2000,direction: 'left',duplicated: true,duration: 11000,gap: 0,pauseOnCycle: true,pauseOnHover: true,startVisible: true});}); LEARN MORE Exceptionalforecast accuracy Our forecasts accurately predict up to 96% of all... --- > Discover Wairforretail's journey, an innovative retail tech firm using deep learning to revolutionize operational processes in the retail industry - Published: 2023-05-13 - Modified: 2024-03-13 - URL: https://wair.mediya.dev/about-us/ Wair’s story WAIR is an innovative retail tech company that develops deep learning models to enhance existing operational processes with intelligent capabilities. We brought teams and people of experienced retail experts and highly skilled AI/ML experts together in delivering on the promise of AI. We originated from a partnership with between business and AI and saw the enormous potential. From that we decided to move forward into a global solution that benefits all. Our mission Democratizing the technology that only tycoons possess We're on a mission to reshape the retail industry by democratizing state-of-the-art AI, ensuring it's available to everyone. Our cornerstone approach for this transformation is grounded in sophisticated time series forecasting, functioning at every aggregation level and for any given moment in time. To make this mission a reality, we've pioneered ROI-driven solutions that can be showcased within tangible virtual simulations - allowing stakeholders to visualize results before committing to a full technology adoption. This ensures rapid, risk-free adoption across the industry. Our ultimate goal? To transition all existing workflows into highly dynamic, data-driven processes. Where are we going Our vision Empowering businesses with Advanced General Intelligence (AGI) to maximize profitability, thereby fostering a world where heightened returns lead to significant investments in a better planet and the revival of human creativity • Get started with us 0 + Team members 0 + Api connections 0 + Awards won 0 + Completed projects --- > Reach out to Wairforretail via our contact form. Let's enhance your retail operations with our deep learning technology - Published: 2023-05-13 - Modified: 2024-04-26 - URL: https://wair.mediya.dev/contact/ Get incontact Let us help you become even greater at what you do. Fill out the following form and we will get back to you in the next 24 hours. Netherlands Luchtvaartstraat 4,1059 CA Amsterdam Spain Carrer de cristóbal de moura, 08019 barcelona WAIR for retail Rianne Reitsma - AI retail strategist Rianne Reitsma AI Retail Strategist Linkedin Telephone Email WAIR for brands Steven Witteveen - VMI-evangelist Steven Witteveen VMI-evangelist Linkedin Telephone Email WAIR for partners Peter Fun - Head of partners Peter Fun Head of partners Linkedin Telephone Email What keeps us moving Our mission is to democratise the technology that only tycoons possess • READ MORE ABOUT OUR MISSION --- --- ## Posts - Published: 2024-07-26 - Modified: 2025-06-18 - URL: https://wair.mediya.dev/step-into-a-new-world-of-demand-forecasting-machine-learning/ - Categories: AI, Insights Replenishment accuracy is what we provide through demand forecasting machine learning and it is more critical than ever. The advent of machine learning has revolutionized this field, enabling businesses to predict consumer behavior with unprecedented accuracy. This technological advancement transforms the way retailers manage their inventory, ensuring they have the right products in the right quantities at the right time. By leveraging the power of machine learning, retailers can not only enhance their operational efficiency but also significantly improve their bottom line. At the forefront of this transformation is WAIR.ai, a leader in demand forecasting machine learning. WAIR.ai’s innovative solutions, such as the AI Replenisher and the AI Redistributor, offer retailers sophisticated tools to optimize their inventory management processes. These cutting-edge technologies utilize advanced algorithms to analyze vast amounts of data, providing precise sales forecasts and enabling smarter inventory decisions. With WAIR.ai, retailers can move beyond traditional forecasting methods and step into a new world of efficiency and profitability. Replenishment accuracy is what we provide through demand forecasting machine learning and it is more critical than ever. The advent of machine learning has revolutionized this field, enabling businesses to predict consumer behavior with unprecedented accuracy. This technological advancement transforms the way retailers manage their inventory, ensuring they have the right products in the right quantities at the right time. By leveraging the power of machine learning, retailers can not only enhance their operational efficiency but also significantly improve their bottom line. At the forefront of this transformation is WAIR. ai, a leader in demand forecasting machine learning. WAIR. ai’s innovative solutions, such as the AI Replenisher and the AI Redistributor, offer retailers sophisticated tools to optimize their inventory management processes. These cutting-edge technologies utilize advanced algorithms to analyze vast amounts of data, providing precise sales forecasts and enabling smarter inventory decisions. With WAIR. ai, retailers can move beyond traditional forecasting methods and step into a new world of efficiency and profitability. What is demand forecasting machine learning? Demand forecasting is the process of predicting future customer demand for a product or service. It involves analyzing historical sales data and market trends to estimate future sales. Machine learning enhances this process by applying complex algorithms to identify patterns and insights that are not immediately apparent through traditional analysis. By learning from past data, machine learning models can make highly accurate predictions about future demand. The importance of accurate demand forecasting cannot be overstated, especially in the retail sector. Retailers must... --- - Published: 2024-07-23 - Modified: 2024-07-23 - URL: https://wair.mediya.dev/7-ways-in-which-ai-demand-forecasting-boosts-your-business/ - Categories: AI, Insights One of the most transformative technologies aiding retailers in this endeavor is AI demand forecasting. This advanced approach leverages artificial intelligence to predict future customer demand with remarkable precision. Unlike traditional forecasting methods, which often rely on historical sales data and simple trend analysis, AI demand forecasting utilizes complex algorithms and machine learning to analyze a multitude of factors. These include current market trends, seasonal variations, consumer behavior, and external factors such as economic indicators and weather patterns. By processing and analyzing these vast datasets, AI can provide retailers with highly accurate and actionable insights. The importance of AI demand forecasting cannot be overstated. It enables retailers to make informed decisions about inventory levels, supply chain management, and marketing strategies. This technology is particularly relevant in the modern retail landscape, where consumer preferences are constantly shifting, and the competition is fierce. By adopting AI demand forecasting, businesses can not only meet but exceed customer expectations, ensuring that the right products are available at the right time and place. This proactive approach to inventory management leads to increased sales, improved customer satisfaction, and significant cost savings. 1. Enhanced accuracy in sales predictions AI demand forecasting revolutionizes the way retailers predict sales by utilizing advanced algorithms and machine learning techniques to analyze vast datasets. Traditional forecasting methods often fall short because they rely heavily on historical data and basic statistical models, which may not account for sudden market shifts or emerging trends. In contrast, AI demand forecasting integrates various data sources, including... --- > Learn about the most important inventory performance indicators for retail now and find out what solutions will improve them. - Published: 2024-07-16 - Modified: 2024-07-09 - URL: https://wair.mediya.dev/key-inventory-performance-indicators-for-retail-businesses/ - Categories: Replenish stock, AI, Data A better insight into the performance of items in stores is imperative for a better company performance. Take it one step further and those insights can be used to make better predictions for replenishment. Take it another step further and give inventory performance insights to a deep learning algorithm to automatically predict upcoming sales for replenishment. The last step is what we do here at WAIR. But what actually are the most important inventory performance indicators we use? Well, that’s what we are going to be explaining in this blog. 1. Inventory Turnover Rate Inventory turnover rate is a key performance indicator in retail that measures how often inventory is sold and replaced over a specific period. A high turnover rate indicates efficient inventory management, with products moving quickly through the supply chain, whereas a low turnover rate suggests overstocking or slow sales, tying up capital and increasing holding costs. AI replenishment systems, like those offered by WAIR, significantly optimize inventory turnover rates. By leveraging advanced algorithms and machine learning, these systems analyze sales data, market trends, and customer behavior to predict demand accurately. This predictive capability allows retailers to maintain optimal inventory levels, ensuring that products are replenished just in time to meet demand without overstocking. AI systems can dynamically adjust replenishment schedules based on real-time data, reducing the risk of stockouts and excess inventory. Several case studies highlight the improvements in turnover rates achieved through AI-driven inventory management. For instance, a fashion retailer using WAIR’s AI Replenisher saw... --- - Published: 2024-07-09 - Modified: 2024-07-09 - URL: https://wair.mediya.dev/the-inventory-allocation-deep-dive/ - Categories: Uncategorized Inventory allocation has changed for good. That’s why this blog will clear up exactly how it has changed. Traditional inventory allocation is falling short. Especially in a market like retail where margins are already incredibly thin, inefficient ways of predicting sales are not working anymore. This is where bundling up heaps of company sales data and feeding machine learning with it creates a wonderful solution. In this deep dive into inventory allocation, we will explore the limitations of traditional methods, the benefits of AI-driven solutions, and real-world success stories of retailers who have embraced our technology. Join us as we uncover how WAIR's innovative approach is setting new standards in retail inventory management. Understanding Inventory Allocation Understanding inventory allocation is essential for optimizing retail operations. Inventory allocation refers to the strategic distribution of stock across various locations to ensure that each store or warehouse has the right amount of inventory to meet consumer demand. The core principles of inventory allocation include demand forecasting, stock level optimization, and efficient resource allocation. These principles guide retailers in predicting where and when products will be needed, ensuring that stock is available at the right place and time to maximize sales and minimize costs. The goals of effective inventory allocation are multifaceted. First, it aims to meet customer demand by ensuring that popular and high-demand items are always available, thus preventing lost sales and enhancing customer satisfaction. Second, it seeks to minimize costs by balancing inventory levels to avoid excess stock, which ties up... --- - Published: 2024-06-25 - Modified: 2024-06-26 - URL: https://wair.mediya.dev/forecasting-of-product-sales-patterns/ - Categories: Research At WAIR-Research, our primary objective is to develop foundation models for the time series domain, which help us perfect our sales forecasting capabilities for our AI-replenisher.   Specifically, we are developing deep-learning models that have a general understanding of the broader time series domain as a whole, enabling them to carry out a variety of tasks (amongst them retail forecasting), without needing retraining. This approach stands out from the “traditional” understanding of machine learning for time series data, which requires re-tuning models to learn a specific dataset or task. Besides being less flexible, this traditional method is also slow and scales terribly with the number of series considered. At WAIR, we make predictions for millions of product sales patterns (time series) every day, demanding a more innovative approach that works out of the box. T-shirt 1104292 To make it a bit more concrete, consider the sales of a given product (e. g. T-shirt 1104292) in a given year, that was launched on the 1st of April. Traditionally, time series analysis begins by splitting a single series into training, validation and test sets along the historical time axis. You could take the sales from April-June as train data, validate on July’s data and then test on August and onwards.   Then, traditional methods like ARIMA are employed, requiring a (potentially manual) search for optimal configuration (hyperparameters) to achieve good performance on the validation set. This approach then assumes that the forecast performance on validation in July will generalise in production to... --- - Published: 2024-06-12 - Modified: 2024-06-12 - URL: https://wair.mediya.dev/wair-ai-acquires-retailisations-software-and-assets/ - Categories: Press In a major development, WAIR has acquired the software and assets of Retailisation B. V. , marking a significant step forward in our mission to enhance our service offerings and provide exceptional support to our clients. This acquisition allows us to expand our technological capabilities and integrate innovative solutions to better serve the retail industry. Ensuring continued support We understand the critical importance of Retailisation's replenishment software for retailers and brands managing their own and controlled shop floors (VMI). Our priority is to ensure a smooth transition and uninterrupted service for all current users. WAIR is committed to maintaining the high standards of service and support that Retailisation's clients have come to expect. Merging expertise in fashion and retail Retailisation has been a dedicated provider of specialized solutions for the fashion industry, addressing its unique challenges and opportunities. By integrating Retailisation’s deep expertise in fashion with WAIRi’s broader focus on both fashion and retail, we are poised to make a significant impact on the global fashion market. Our combined capabilities will enable us to offer even more comprehensive and effective solutions to our clients. Welcoming new clients to the WAIR family We are excited to welcome Retailisation's esteemed clients, including VF Corporation, Ralph Lauren Corp, Wolford, 7 for All Mankind, and DK Company, to the WAIR family. Our goal is to provide these clients with enhanced support and innovative solutions that drive success and growth in the fashion and retail sectors. Benefits of the acquisition Seamless transition Ongoing support Enhanced... --- > Accelerate with WAIR's AI inventory management software. Reduce overstock, predict accurately 6 weeks ahead, and boost profitability. Discover the future now! - Published: 2024-05-28 - Modified: 2024-05-28 - URL: https://wair.mediya.dev/ai-inventory-management-software/ - Categories: AI, Insights, Replenish stock A new age in tech means a new age in retail, therefore fashion brands are having to find new ways to improve. What we preach here at WAIR is that the traditional methods of inventory management, which relied heavily on manual effort, are no longer sufficient to meet the dynamic demands of this new era of retail. Our AI inventory management software is saving fashion retailers loads of lost revenue by reducing overstock and understock among other things. This software truly has opened up a new era for retail as accurate predictions are now available 6 weeks ahead of time! Specifically, things like replenishment, redistribution, reordering and the initial distribution are enhanced significantly. The evolution of inventory management Inventory management has come a long way from its early days of manual counts and spreadsheet-based tracking. For decades, retail companies have relied on traditional methods that use historical sales data to predict future inventory needs. While these methods were the backbone of inventory management, they came with significant limitations. One of the main challenges was their inability to adapt quickly to rapid market changes, fluctuating consumer demands, and unexpected external factors such as supply chain disruptions. Once more machine learning developed enough it was able to allow for a huge shift in inventory management. The power of AI in inventory management The combination of the continuous development in deep learning and the data on some of the biggest retail companies in the world has introduced a new era of possibilities in... --- > A store performance dashboard is a sophisticated tool designed to distill complex data into actionable insights. Click here to learn more - Published: 2024-05-21 - Modified: 2024-06-21 - URL: https://wair.mediya.dev/store-performance-dashboard/ - Categories: AI, Insights, Replenish stock "Actually using this data for good seems to be a challenge for many retail companies" Every retail store is a hive of activity, generating vast amounts of data from sales, customer interactions, inventory changes, and more. This data could obviously be used to improve sales and financial gain. But actually using this data for good seems to be a challenge for many retail companies. Enter the store performance dashboard, a sophisticated tool designed to distill complex data into actionable insights. While most ERP systems come equipped with some form of performance dashboard, the integrable WAIR dashboard elevates this concept to new heights. Our dashboard not only provides necessary statistics but, when paired with our innovative replenishment tool, transforms this data into immediate action by automatically replenishing and optimaly allocating stock to where it's needed most. This integration ensures that retailers can make informed decisions swiftly, keeping pace with market demands while maintaining optimal stock in-store levels and financial robustness. What is a store performance dashboard? A store performance dashboard is an analytical tool that aggregates and visualizes key retail metrics, offering a snapshot of a store's operational health at any given moment. While many ERP systems include a basic version of such a dashboard, they are usually outdated and focused on manual tasks. Our replenishing solution stands apart. Our dashboard not only presents data in an accessible and clear manner but also integrates seamlessly with the replenishment tool. This powerful combination transforms raw data into actionable insights, enabling precise replenishment... --- - Published: 2024-05-17 - Modified: 2024-05-07 - URL: https://wair.mediya.dev/ai-forecasting-tools/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. The retail sector has been undergoing a significant transformation. While it is always forced to transform, this sector has been quite on its edge in the last 30 years with its thin margins. The shift towards AI is different. The need for data-driven decision-making has enabled retailers to optimize their operations, enhance customer experiences, and improve overall profitability. In this digital age, where consumer preferences evolve rapidly, and market dynamics change swiftly, the ability to leverage data effectively has become a critical success factor for retailers worldwide. Enter WAIR, a leading innovator in the realm of AI forecasting tools, which has been gaining notoriety in the fashion retail world. WAIR's solutions, notably the AI Replenisher and the Product Description Generator, are changing the game in retail by addressing two critical aspects: inventory management and online product presentation. The AI Replenisher harnesses the power of AI to predict product demand accurately, ensuring that inventory levels are optimized to meet consumer needs without leading to overstock or stockouts in physical stores.   The Rise of AI Forecasting Tools in Retail The retail industry is fraught with challenges, from managing inventory levels to creating compelling online content that attracts and retains customers. Overstock and understock, in particular, have been an archetypal issue, which are not easily solved. In recent times with more eye for sustainable clothing practices, these issues are forced to become more of a thing of the past. But how? AI forecasting tools have emerged as a pivotal solution to these... --- - Published: 2024-05-14 - Modified: 2024-05-07 - URL: https://wair.mediya.dev/inventory-forecasting-software/ - Categories: AI, Insights, Replenish stock The ability to accurately predict inventory needs is more crucial than ever. Inventory forecasting software, leveraging advanced algorithms and artificial intelligence, has emerged as a pivotal tool for retailers aiming to navigate the complex balance of supply and demand. This technology not only streamlines inventory management but also significantly enhances operational efficiency and customer satisfaction. In the case of Shoeby our inventory forecasting software led to increased accuracy in predictions. It's a company whose revenue already sits within the millions and with our AI replenisher that figure grew by almost 3%, but more about that later in the text. Revenue growth of almost 3% The Evolution of Inventory Management The landscape of inventory management has undergone significant transformations over the years, evolving from manual counts and spreadsheet-based tracking to more sophisticated systems. Traditional inventory management methods, often reliant on historical sales data and linear forecasting models, have been the backbone of retail operations for decades. However, these methods come with inherent limitations, notably their inability to adapt to rapid market changes, fluctuating consumer demands, and unexpected external factors such as supply chain disruptions. This static approach can lead to inaccuracies in stock levels, resulting in overstock or understock situations that directly impact a retailer's bottom line and customer satisfaction. Enter WAIR's revolutionary AI-driven approach, which marks a significant leap forward in inventory management. By harnessing the power of artificial intelligence and deep learning, WAIR's solutions offer dynamic, real-time forecasting that goes beyond traditional methods. This approach not only considers historical... --- > One way to ensure better business processes is utilizing automatic replenishment. Read more in this detailed guide on how to do that! - Published: 2024-05-10 - Modified: 2024-05-02 - URL: https://wair.mediya.dev/automatic-replenishment/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. The ability to maintain the right inventory levels in fashion retail has become more crucial than ever. Not only because of the lost revenue of overstock but also the wasteful side of it. This is where the concept of automatic replenishment comes in. Automatic replenishment, a system designed to give instructions on how many products should go to each retail store based on current sales trends and inventory levels, has grown significantly in importance. It not only ensures that shelves are never empty but also that overstocking is minimized, striking the perfect balance between supply and demand. The integration of Artificial Intelligence (AI) forecasting into automatic replenishment systems marks a groundbreaking advancement in this domain. AI forecasting leverages machine learning algorithms and data analytics to predict future product demand with remarkable accuracy. This predictive capability enhances automatic replenishment systems, enabling them to adapt to changing market trends and consumer behaviors dynamically. WAIR's AI Forecaster exemplifies this revolutionary leap forward. By combining detailed market analysis, historical sales data, and real-time inventory levels, WAIR's solution optimizes the replenishment process, ensuring that retailers can meet their customers' needs without the risk of overstocking or understocking. The evolution of automatic replenishment The journey of automatic replenishment in the retail sector is a testament to the industry's evolution in response to technological advancements and changing consumer expectations. Initially, replenishment processes were manual and time-consuming, relying heavily on the intuition and experience of store managers to estimate future product demand. This method, while somewhat effective, was... --- > The evolution from simple replenishment to smart retail replenishment fueled by AI predictions took a long time. Learn about it's uses today! - Published: 2024-05-07 - Modified: 2024-05-02 - URL: https://wair.mediya.dev/retail-replenishment/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Traditional retail replenishment methods are heavily reliant on historical sales data and manual inventory checks. That’s why they are more prone to fall short in an ever-accelerating environment. These conventional approaches can lead to significant challenges, including overstocking, which ties up valuable capital in unsold inventory and increases storage costs, and understocking, which results in missed sales opportunities.   Enter the era of smart retail replenishment, a transformative approach that leverages advanced technologies such as artificial intelligence to revolutionize inventory management. Smart retail replenishment systems analyze vast amounts of data in real-time, from current sales trends to market dynamics, enabling retailers to predict demand more accurately and automate the replenishment process. This ensures that the right products are available at the right store. At the forefront of this innovation is WAIR's replenisher tool, designed to address the inefficiencies of traditional replenishment methods. By integrating deep learning algorithms and predictive analytics, WAIR's solution offers a more dynamic, data-driven approach to inventory management, promising retailers a host of benefits including reduced overstock, improved customer satisfaction, and enhanced operational efficiency. Understanding retail replenishment Retail replenishment, at its core, is the process of restocking products in a store to meet customer demand. It is a critical component of the supply chain, ensuring that products are available for purchase without significant delays. Effective replenishment strategies are vital for maintaining the balance between supply and demand, optimizing inventory levels, and maximizing sales and profitability. However, the path to achieving this balance is fraught with challenges. Accurate... --- > To move forward in retail is to use ai for inventory management. But how do you do that? We will give a guide on that in this blog. - Published: 2024-05-03 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/ai-for-inventory-management/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Traditional methods often struggle to adapt... In the retail sector, inventory management stands as a critical pillar of success. Traditional methods often struggle to adapt to the fast-paced changes in consumer demand, leading to common issues like overstock and stockouts. This is where the power of AI for inventory management shines, offering a revolutionary solution to these age-old problems. WAIR's AI Replenisher emerges as a beacon of innovation in this field, demonstrating through compelling case studies, such as Shoeby, OFM, Daka, and Van Dal mannenmode, how AI-driven strategies can redefine inventory management for the retail industry. The AI Replenisher WAIR's AI Replenisher is not just a tool but a transformative force in inventory management. It utilizes advanced algorithms to forecast SKU quantities for each shop floor up to 7 days in advance, enabling retailers to dynamically adjust their inventory levels. This marks a significant departure from static replenishment methods, which fail to account for the fluctuating nature of consumer demand. Building on the innovative foundation laid by WAIR's AI Replenisher, this solution transcends traditional inventory management approaches by introducing a level of dynamism and precision previously unattainable. The utilization of advanced algorithms to forecast SKU quantities up to a week in advance empowers retailers with the ability to proactively manage their inventory in real-time. This dynamic adjustment capability is a critical evolution from the static replenishment methods that have long dominated the industry, methods that often lead to inefficiencies such as overstocking or missed sales opportunities due to understocking. The... --- > The key to revenue is anticipation inventory and there are very little tools that actually deliver. Check out WAIR to unlock more revenue. - Published: 2024-04-30 - Modified: 2024-04-30 - URL: https://wair.mediya.dev/anticipation-inventory/ - Categories: AI, Insights, Replenish stock Fashion retail has long been plagued by the struggle between meeting consumer demand and managing inventory levels. Too much stock can lead to discounts and lost profits, while too little can result in missed sales opportunities. Striking the perfect equilibrium has been a persistent challenge, until now. The fashion industry's inventory conundrum Fashion retail has long been plagued by the struggle between meeting consumer demand and managing inventory levels. Too much stock can lead to discounts and lost profits, while too little can result in missed sales opportunities. Striking the perfect equilibrium has been a persistent challenge, until now. Traditionally, retailers relied heavily on historical data and manual forecasting methods, often resulting in inaccurate predictions and costly mistakes. However, the advent of artificial intelligence (AI) and machine learning (ML) has ushered in a new era of data-driven decision-making, offering a solution to this age-old dilemma. As we dive deeper into the world of anticipation inventory, we'll explore how AI forecasting is revolutionizing the fashion industry, enabling retailers to stay ahead of the curve and maximize revenue potential. Defining anticipation inventory Anticipation inventory, also known as speculative inventory, refers to the practice of stocking merchandise before actual customer demand is known. This proactive approach aims to ensure that the right products are available at the right time, minimizing stockouts and maximizing sales. In the past, anticipation inventory was a risky endeavor, relying heavily on intuition and educated guesses. However, with the advent of AI-driven forecasting, retailers can now make data-driven decisions, accurately anticipating consumer demands and mitigating the risks associated with overstocking or understocking. The power of AI forecasting AI forecasting leverages advanced algorithms and machine learning models to analyze vast amounts of data, including historical sales figures, consumer trends, weather patterns, social media sentiment, and more. By... --- > A powerful inventory management dashboard can boost replenishment and forecasting accuracy. Why not make more revenue? - Published: 2024-04-26 - Modified: 2024-06-21 - URL: https://wair.mediya.dev/inventory-management-dashboard/ - Categories: AI, Insights, Replenish stock One of the biggest areas where fashion retailers lose money is in-store allocation. Inventory management is a task that takes a lot of effort for retail companies, but if it is done right streamlined inventory management could decrease revenue losses. One of the biggest areas where fashion retailers lose money is in-store allocation. The wrong allocation leads to overstocks and understock which means lost revenue. Therefore an inventory management dashboard with built-in AI forecasting functions can help your company fight against the thin margins. An inventory management dashboard for store allocation is exactly where WAIR comes into play. How does WAIR's inventory dashboard work? WAIR's inventory management dashboard is designed to provide businesses with a comprehensive and intuitive overview of their inventory status, enabling them to make informed decisions swiftly. Here's how it works: Dashboard Overview At the heart of WAIR's dashboard is a detailed overview that includes critical metrics such as "total sales quantity," "total styles to process," "total stock," and "stocks in transit. " This section also features a graph displaying the sales quantity for the last six weeks, offering a visual representation of sales trends. Additionally, users can view the top sell-through items, the number of accurate predictions to process, and the total number of accurate predictions. This overview ensures that businesses have all the necessary information at their fingertips to manage their inventory effectively. Replenisher Overview The Replenisher Overview section delves into the specifics of inventory predictions, presenting the number of predictions made and key statistics... --- > Overstock and understock are major issues in retail. In this blog we will unravel the best ways to prevent it! - Published: 2024-04-17 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/overstock-and-understock/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Fashion retail is a dynamic industry where trends come and go, and consumer preferences are ever-changing. In this fast-paced environment, managing inventory levels is a critical component of success. Two terms that often arise in this context are "overstock" and "understock. " Understanding these concepts and their implications is essential for fashion retailers to optimize their operations and profitability. In this comprehensive guide, we will delve into the intricacies of overstock and understock, exploring their causes, consequences, and strategies to mitigate their impact. Whether you're a seasoned fashion retailer or an aspiring entrepreneur, this blog post will provide valuable insights to help you navigate the complexities of inventory management. By mastering the art of inventory control, you'll be better equipped to meet customer demand, minimize losses, and ultimately, drive sustainable growth for your fashion retail business. Defining overstock vs understock Before we dive deeper into the subject, it's essential to establish a clear understanding of what overstock and understock mean in the context of fashion retail. Overstock refers to the accumulation of excess inventory, where the quantity of products on hand exceeds the anticipated demand. This situation can arise due to various factors, such as inaccurate sales forecasts, changes in consumer preferences, or overly optimistic purchasing decisions. On the other hand, understock occurs when a retailer does not have enough inventory to meet customer demand. This shortage can lead to lost sales opportunities, dissatisfied customers, and potentially, a negative impact on the brand's reputation. The consequences of overstock and understock... --- > Learn how new shifts in inventory management are created by AI. Read more here! - Published: 2024-01-30 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/automated-inventory-management-huge-shift/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. marking a significant shift from traditional methods to sophisticated, AI-driven approaches. This evolution is not merely an upgrade, but a complete restructuring of how businesses manage stock and optimize their supply chains. Many companies will claim to help you use AI but in fact only make use of a small portion of its capabilities. WAIR uses deep learning at its core to offer unparalleled predictive analytics, real-time data processing, and automated decision-making way beyond the reach of human capability. And the best part of using deep learning is: the system only gets better and better overtime. So retail businesses now have a choice to make; get more and more efficient with deep learning or fall behind. The rise of automation in inventory management Before, inventory management was predominantly a manual and reactive process. This meant that there were a lot of human errors and inefficiencies. The change began with the adoption of electronic databases and barcode technology, which improved tracking but still required considerable manual intervention. After that, data regarding stock and sales became more transparent, but managing it was still a matter of educated guesses. That’s why with the rise of new deep learning technologies forecasting like this will go from it’s old manual self to a new fully optimized level. How AI is changing the rules of the game The integration of AI into inventory management has led to significant improvements in efficiency and accuracy. AI systems are capable of analyzing vast amounts of data to predict trends,... --- > The time is of using inefficient ways of replenishment planning is over. Learn more about our way of making retail better through AI! - Published: 2024-01-27 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/replenishment-planning/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Overstock, thinning margins, and growing online competition, the traditional way of doing business in retail is getting harder and harder. Outdated methods often result in significant revenue loss through overstock and other inefficiencies, leaving businesses struggling to keep up. One of the most compelling examples of the impact of outdated methods is seen in the fashion industry. Traditional methods have led time and time again to overstock and low revenues, which now have found a solution for.   The challenges of traditional replenishment methods Traditional replenishment planning's increasing challenges have a lot to do with unchanged methods. These methods usually lead to overstock and understock situations, stemming from their inability to accurately predict and respond to market changes. Overstock results in unnecessary inventory which is simply not sustainable, while understock means missed sales opportunities and less satisfied customers. One of the key limitations of these traditional methods is their reliance on historical sales data and linear forecasting models, which fail to account for the dynamic nature of the retail market. This results in a lack of responsiveness to emerging trends, sudden changes in consumer demand, or seasonal variations. One could say online e-commerce advancements are killing physical retail, but luckily some technology actually boosts it. Predictive SKU models which work via deep learning mechanisms can greatly decrease issues like overstocking because of this technology. At WAIR our AI-driven solution has already helped many retailers by increasing their revenue through these self improving predictive methods. The emergence of deep learning in... --- > Implementing AI into retail automation has never been more impactful. Learn more now in this deep dive into it. - Published: 2024-01-24 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/retail-automation/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Always have the right type of items at the right locations. This is the promise of retail automation, a thriving revolution in the retail sector. As technology reshapes the retail landscape, it offers solutions to longstanding challenges like thin profit margins created by intense online competition. Retail automation represents a beacon of hope for retailers navigating complex logistics and striving to stay relevant in a digital-first world. It's not just about streamlining operations; it's a strategic reimagining of the shopping, blending efficiency with customer satisfaction. So, are things actually changing? The rise of integrated ecosystems in retail The retail industry is increasingly adopting integrated ecosystems over isolated IT solutions. This shift is driven by the need for enhanced visibility and faster decision-making. Integrated systems enable immediate data exchange, streamlining processes across various retail operations. This evolution marks a significant change in how retailers approach technology, with an emphasis on efficiency and connectivity between stores. Role of generative AI in retail strategies Generative AI (Gen-AI) is revolutionizing retail strategies with tools like the AI Product Describer, a prime example of how technology is enhancing retail operations. This AI-driven tool uses advanced algorithms to create precise and engaging product descriptions, transforming the way products are presented online. By automating content creation, it not only ensures accuracy and consistency but also significantly improves SEO. This innovation represents a strategic shift in retail, where technology is not just an operational tool but a driver of market competitiveness. Learn more about this transformative technology at... --- > Struggling with replenishment? Feeling the retail margins creep up on you? Learn now how auto replenishment could help you! - Published: 2024-01-23 - Modified: 2024-04-24 - URL: https://wair.mediya.dev/auto-replenishment/ - Categories: AI, Insights, Replenish stock Oh, artificial intelligence, you rascal. Since ChatGPT launched last May, we’ve been subjected to endless, breathless hype about what you can do and all the ways you’re going to turn the world upside down. Achieve effortless inventory management using auto replenishment solutions Businesses often grapple with the balancing act of maintaining optimal stock levels– too much inventory leads to increased holding costs and risks of obsolescence, while too little can result in stockouts and lost sales. Furthermore, traditional inventory management methods, relying heavily on historical data and manual processes, are increasingly inadequate in today’s rapidly changing market conditions. Enter the age of AI-driven solutions, where the potential for transformative changes in inventory management is immense. Our deep learning forecasting systems are designed to not just cope with these challenges but to turn them into opportunities for efficiency and growth. This blog serves as a comprehensive guide to achieving easier and better inventory management. We dive into how our auto replenishment solutions, powered by cutting-edge AI technology, simplify the complex task of inventory management, ensuring that the right amount of products are in the right place at the right time. The current state of inventory management In the realm of traditional inventory management, businesses frequently encounter many challenges. Key among these are overstock and understock, which imply material unsustainability and financial unsustainability. Besides those, human errors in inventory management also a far too common occurence. The impact of these challenges is significant: retail businesses face substantial cost implications which they usually already can’t quite afford with their razor thin margins. So, solutions could prove to be very useful. That’s where auto replenishment comes into play. What is auto replenishment? Auto replenishment, at its core, is... --- ---