CASE STUDY February 13, 2023

AI/ML forecasting delivers 20% savings for top US restaurant chain

Background

Our client, a leading Fast Casual Restaurant brand in the US and Canada, faced challenges with their sales forecasting system, impacting labor and inventory management. Recognizing the limitations in adapting to local events, they sought an agile solution for accurate forecasting, labor optimization, and surplus prevention.

Impact

We replaced the existing legacy forecasting solution with an AI and ML-powered hyper-localized omnichannel demand forecasting system. It helped achieve incredibly high forecasting accuracy levels at their cafés. Our solution also led to a 20% increase in labor cost savings and a 10% reduction in inventory waste.

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