Case Study: Starbucks achieves real-time visibility and 40% lower food production costs with Incorta

Starbucks cuts food production costs by 40% with Incorta

Starbucks faced a challenge in gaining timely, comprehensive insight into performance across its 32,000 global locations. The company needed real-time visibility into granular transactional data, such as cost of goods sold by product and store, to improve its supply chain and profitability. A key requirement was a solution that could integrate seamlessly with its existing Microsoft technology.

Incorta implemented its data analytics platform, which uses Direct Data Mapping to unify data from various sources without complex modeling. This provided Starbucks with real-time, actionable insights. The results included a 40% decrease in food production costs, annual savings of $35M in inventory carrying costs, and a 99% reduction in the time required to deliver reports, enabling data-driven business practices.

Starbucks