Supply Chain Analytics2020-10-19T18:21:22+00:00

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.

For detailed understanding and solution, please download the case study here

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