---
id: "entity-starbucks-d7"
type: "entity"
entityType: "organization"
canonicalName: "Starbucks"
aliases: ["Starbucks"]
canonical_url: "starbucks.com"
source_timestamps: ["§ The Habit Playbook"]
tags: ["retail", "case-study"]
related: ["action-hunt-habit-cues"]
sources: ["attention"]
sourceVaultSlug: "hbr-seg-attention"
originDay: 4
articleStem: "hbr-tier2-07-chinese-ai-firms-habits"
sourceUrl: "https://hbr.org/2026/06/lessons-from-chinese-ai-firms-on-owning-customers-habits"
sourceTitle: "Lessons from Chinese AI Firms on Owning Customers’ Habits"
---
# Starbucks

## Starbucks

Retailer cited as an example of **hunting for habit cues rather than feature gaps** — the worked example for [[action-hunt-habit-cues]] (step 1 of the [[framework-habit-playbook]]).

- Its **Deep Brew** AI platform tracks customer order patterns to **pre-select drinks** and **time push notifications to morning commutes**.
- In 2026, Starbucks unveiled an **AI ordering companion based on mood descriptions**, intercepting the high-frequency **morning-routine cue**.

**Canonical reference:** starbucks.com — global coffee retailer; uses AI for personalization (Deep Brew) and mobile ordering, including commute-timed notifications and recommendation systems.


## Related across articles
- [[entity-starbucks-d65]]