30pp improvement in accuracy of demand forecasting models
Delivered a demand forecasting solution to improve sales, shorten planning cycle, reduce stock-outs, and optimize inventory
Business Challenges
The client’s existing system lacked a single source of true forecast that could be consumed across different business teams.
Sigmoid’s Solution
Sigmoid improved their existing forecast solution using ML algorithms to improve WAPE, BIAS and coverage.
Business Impact
Created an MVP for 3 product categories with an improved accuracy of demand forecasting models by 30 percentage points.
