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01 · Use cases— The evidence

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

3
deployments
on record
2
industries
Consumer & Food
0%
use AI agents
0 of these
12 Jul 2026
latest source date
§ 1

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.

Low confidenceBased on 3 public cases · updated 10 Nov 2026

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.

§ 2

Compared with peers

Against 11 other consumer & food companies on the hub.

What peers document

  1. 36%
  2. Cloud migration3 of 11 peers
    27%
  3. 27%
  4. 27%
4 of 6 patterns

Gaps against the industry

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.
§ 3

Deployments

3 deployments at Starbucks, newest first.

  • 12 Jul 2026
    Consumer & Food

    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 2019
    Consumer & Food

    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 2019
    Retail

    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

§ 4

What it builds

Employee productivity is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

Microsoft is named in 3 of these deployments.

  1. Microsoft100% of these
    3
§ 6

Industries

Starbucks deployments span 2 industries.

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