Case Study: Bimbo Bakeries USA achieves up to 30% reduction in forecast errors and improved order accuracy with Zebra

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Bimbo Bakeries USA Reduces Forecast Errors by Up to 30%

Bimbo Bakeries USA, maker of brands like Sara Lee, Entenmann’s and Thomas’, operates 59 bakeries, 11,000 delivery routes and more than 20,000 associates. The company faced a classic perishables challenge: balancing freshness and availability while minimizing waste and missed sales amid highly variable local demand and fragmented regional operations, and it needed to modernize manual planning tools and better empower front-line teams.

Antuit.ai’s AI-powered demand forecasting—deployed as the backbone of BBU’s “Ion” platform—provided predictive ordering, real-time inputs (weather, events, POS, driver/retailer data) and an intuitive planner/route operator UI. The solution scaled to 11,000 routes in months, cut forecast errors by up to 30%, sustained >80% forecast accuracy through pandemic volatility, sped implementation from months to weeks, and modernized operations to improve order accuracy and reduce food waste.


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Bimbo Bakeries USA

Morgan Smith

VP of DSD Center of Excellence


Zebra

172 Case Studies