Problem: Frequent Starbucks customers must navigate multiple steps to reorder the same items, creating unnecessary friction in high-intent repeat purchase flows and increasing drop-off for habitual orders.

Insight: Not all repeat orders require reconfiguration. By identifying high-confidence, habitual ordering behavior, a streamlined one-click flow can optimize for speed while preserving correctness through intelligent guardrails.

Outcome: Designed a single-click re-order prototype that enables instant reordering from past purchases, using AI to determine when speed should be prioritized over customization reducing time to order while maintaining trust through contextual checks around availability, pricing, and recency.

Key Metrics: Time to Order (Repeat Purchases), Reorder Rate and Checkout Drop-off Rate