Case Study: a leading CPG company improves demand forecasting accuracy with Mate Labs' Mateverse

Leading CPG Company - Customer Case Study

The consumer goods company, a leading CPG company, was facing challenges with its demand forecasting. Their established legacy tool lacked advanced analytical capabilities, leading to low forecast accuracy at a granular level. This inefficiency resulted in significant bottom-line losses and wasted substantial resources in finalizing demand plans. They partnered with Mate Labs to address this problem.

Mate Labs implemented its Mateverse AutoML platform to rapidly build a forecasting model. The solution provided a 20% accuracy improvement, achieving 60% accuracy at the most granular level of ASM, Depot, and SKU. This enhancement resulted in annual savings of $11 million for the client by reducing inventory and opportunity losses. Mate Labs delivered this through an automated system that generates forecasts monthly, saving the company considerable time and effort.