Case Study: Blue Bottle Coffee reduces food waste with Provectus AI demand forecasting

Blue Bottle Coffee improves pastry ordering accuracy by 8% with Provectus

Blue Bottle Coffee, a specialty coffee roaster and retailer with over 100 global cafes, faced a significant challenge in manually ordering the correct quantity of pastries for its locations. This process led to forecasting errors, resulting in both food waste from over-ordering and stockouts from under-ordering. To address this, Blue Bottle Coffee partnered with Provectus to implement an AI-powered demand forecasting solution built on Amazon SageMaker.

Provectus designed and built a system that uses historical sales, inventory, and projections to generate accurate pastry demand forecasts for each cafe. This solution improved ordering accuracy by 8% in its first month, leading to a direct cut in food waste and overstock costs. The system also reduced stockouts, ensuring a better customer experience while supporting Blue Bottle Coffee's sustainability goals.

Blue Bottle Coffee