Demand forecasting

Balance overstocks and out-of-stocks with DSLab's demand forecasting

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.

Increase on-shelf availability while reducing write-offs

Granular forecasts
We deliver highly accurate daily forecasts: for each item, on a store level, for 16 weeks ahead.
Machine learning
Machine learning technologies at the core of our solution deliver highly-accurate forecasts allowing you to improve on-shelf availability without excessive stock.
Hundreds of parameters
While classical rule-based systems analyze a maximum of 50 parameters, our predictive models account for over 600 parameters.
Automation
Our solution allows you to eliminate highly intensive routine tasks, avoid human errors, and fully automate the forecasting process.
Business metrics
Instead of focusing on accuracy only, we use business metrics such as write-offs and out-of-stocks to measure the quality of the forecast.
Easy integration
DSLab forecasting solution is easily integrated with standard data sources such as Hadoop or SQL-based data storage, as well as replenishment systems.