Demand forecasting is a barebone of every retailer's business. Order too much, and you accumulate overstock; order too little, and you lose sales and customers. Machine learning, however, gives a fresh perspective on how to strike a balance and predict demand as accurately as possible. Get an automated, highly accurate forecast for every SKU on a store level with DSLab's demand forecasting.
With fresh food, retailers have always faced a trade-off: order too little, and you lose sales; order too much, and you get excess stock and food wastage. Our machine learning technology allows grocers to predict demand for items with a shelf life of 1-7 days more accurately, increase on-shelf availability and reduce write-offs. Keep your perishables fresh with DSLab's demand forecasting for fresh food.
With an average of 60% of goods being on offer constantly, demand forecasting for discounted products is more important than ever. Improve on-shelf availability without keeping excess stock with DSLab's machine learning technology. Get a granular forecast for each item on a sales promotion, on a store level, for 16 weeks ahead.
The fear of being left with an empty shelf drives an understandable motive to order a "little extra" inventory. DSLab's machine learning safety stock forecasting eliminates the emotional factor of inventory management, reduces the level of manual fine-tuning, and optimizes safety stock for seasonality, upcoming holidays, and sales promotions.
Embrace the opportunities of smart pricing to offer customers the right price optimized for both internal and external parameters, such as time of day or weather. Maximize sales, increase margins, and boost store traffic with DSLab's intelligent pricing.