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E-commerce · 2024

Butcher Box AI

Personalized meal-plan recommender that lifted basket size 22% while keeping outputs auditable for the merchandising team.

CLIENT
DTC food brand
YEAR
2024
SECTOR
E-commerce
WHAT WE DID
LLM Apps, Personalization, MLOps
B
E-commerce · Personalization
Butcher Box AI
22%
Larger baskets
100%
Auditable outputs
1.4×
Repeat-order rate
THE CHALLENGE

A meal-plan recommender needed to lift basket size without becoming a black box the merchandising team could not trust.

OUR APPROACH

We built a personalized recommender whose outputs are fully auditable, every suggestion traces back to signals merchandisers can inspect and override.

THE OUTCOME

Basket size climbed 22% while the team kept full visibility into why each plan was recommended.

TECH STACK
Claude 4.5 SonnetPythondbtSnowflakeReact
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· AVG. RESPONSE 4H · NDA-SAFE

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