Starbucks
3 documented AI deployments at Starbucks, across 2 industries. Each one links to the public source it was taken from.
Seattle, United States · Founded 1971 · starbucks.com · WikipediaSource: Wikidata, 2026-11-01
Public AI record
Starbucks has 3 documented public AI cases on the hub, too few for a score. AI development platform and cloud migration are common among peers but not yet documented at Starbucks.
A record score appears once Starbucks has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case May 2019, latest Jul 2026. Cloud providers named: Microsoft.
Compared with peers
Against 11 other consumer & food companies on the hub.
What peers document
- AI development platform4 of 11 peers36%
- Cloud migration3 of 11 peers27%
- Operations optimization3 of 11 peers27%
- Supply chain optimization3 of 11 peers27%
Gaps against the industry
- AI development platform: 36% of peers, not documented at Starbucks yet
- Cloud migration: 27% of peers, not documented at Starbucks yet
- Operations optimization: 27% of peers, not documented at Starbucks yet
Signature use cases
No peer on the hub documents employee productivity.
Stack and approach vs peers
- Peer cases name Microsoft 81%, AWS 10%, GCP 6%.
- AI agents: 0% of Starbucks's cases vs 31% for peers.
- Cases from the last 12 months: 33% vs 33% for peers.
Deployments
3 deployments at Starbucks, newest first.
- 12 Jul 2026Consumer & FoodUnited States
Starbucks deploys Green Dot Assist barista assistant on Azure OpenAI
Starbucks · Employee productivity · Microsoft
Starbucks uses Green Dot Assist, an AI-powered virtual assistant for baristas, in its stores. The tablet-based assistant supports frontline employees with barista work and recipe guidance and runs on Azure OpenAI.
- 7 May 2019Consumer & FoodUnited States
Starbucks Enables Coffee Traceability and Transparency for Consumers and Farmers
Starbucks · Microsoft
Starbucks, collaborating with Microsoft, developed and piloted a blockchain-based supply chain tracking system using Azure's blockchain services. This initiative, stemming from Starbucks’ digital transparency plan announced at Microsoft Build 2019, allows customers to trace the journey of their coffee beans from origin to cup via a mobile interface. All supply chain participants, including more than 380,000 coffee farms, record data in an electronic Azure-based ledger. Consumers can view information regarding origin, farming practices, and roasting details. Farmers, in turn, gain unprecedented visibility into where and how their beans are ultimately sold, supporting ethical sourcing and sustainability. Starbucks continues to expand the project based on learnings from early pilot regions, and the project improves supply chain transparency, consumer trust, and the connection between growers, retailers, and end customers.
Pilot
- 6 May 2019RetailUnited States
Starbucks personalizes customer experience and improves operations
Starbucks · Shopping recommendations · Microsoft
Starbucks modernizes its global retail operations and customer personalization using Microsoft Azure AI, IoT, and Blockchain technologies. More than 16 million active Starbucks Rewards members receive tailored recommendations through reinforcement learning on Azure, which leverages data such as customer preferences and weather. Beyond mobile app personalization, Starbucks is piloting the same adaptive technology for drive-thru experiences. Store equipment is digitally connected using Azure Sphere IoT, allowing predictive maintenance, proactive repairs, and seamless cloud-based recipe updates across thousands of locations. For supply chain transparency, Starbucks employs Azure Blockchain Service to trace the journey of coffee from farm to cup, giving both customers and farmers deeper insight into sourcing and promoting ethical trade. These initiatives lead to a more relevant customer experience, improved equipment uptime, faster recipe rollouts, and a transparent, responsible supply chain.
Production
What it builds
Employee productivity is the most common pattern in these deployments: 1.
Cloud providers named
Microsoft is named in 3 of these deployments.
- Microsoft100% of these3