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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.
Our forecasts accurately predict up to 96% of all SKU-store sales (1 week). But in inventory management, it’s the ROI that counts. We push to find the optimal balance between over- and underprediction, acknowledging that no prediction is ever perfect.
With our forecasts pushed directly to your ERP, there is no interference in your current processes. Experience higher responsiveness in replenishment, redistribution, and channel reservation.
Our forecasting goes hand-in-hand with smooth ERP integration. With minimal implementation costs and a near plug-and-play setup, there’s little need for ICT involvement. Our usage-based pricing makes our technology accessible for businesses of all sizes, and best of all, there’s no vendor lock-in.
Without thorough domain knowledge of the data and its business context, reaching breakthroughs is hard. In the WAIR team, we have more than 100 years of retail experience, deeply understanding the retail industry.
7.5m parameters WAIR GPT-2.5
Pooled data
Unified model
100+ Features
Computational power
Domain expertise
We are in the midst of a seismic shift. The intelligence of AI models is advancing at an unprecedented pace, and it’s changing everything we thought we knew about model development. Models like ChatGPT have set a new standard for smart technology.
Our own ForecastGPT-2.5 already outsmarts every alternative on the market. We’re combining pooled industry data, advanced deep learning technology, powerhouse computing, domain expertise, and insightful features to build an AI model that’s best in class. This is reflected in the number of parameters our models contain. It indicates its ability to learn, adapt, and make accurate predictions. They encapsulate the ‘knowledge’ that the model has acquired from the training data.
7.5m parameters WAIR GPT-2.5
Pooled data
Unified model
100+ Features
Computational power
Domain expertise
We redefine the boundaries of conventional forecasting models. Through innovative technology and unifying the industry (retailers & brands), we provide precise SKU sales forecasts, from a day up to six weeks.
The AI Replenisher makes replenishment recommendations for 240 physical Shoeby stores at SKU level. This led to a 4% increase in inventory turnover, a 2% reduction in end-stock, and a 3% growth in total revenue.
OFM was using a traditional replenishment system to keep the initial distribution intact without adapting stock levels based on demand.
Daka reduced overstock by 47% percentage point and solved the edge case of seasonality
Unleash the power of AI within your processes. Let us do the work we are good at.
