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Helio Copilot · 2026.Q1

Upwork Top Rated Plus · Expert-Vetted

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All case studies25 case studies Case spotlightHelio Copilot · 2026.Q1 RecognitionUpwork Top Rated Plus · Expert-Vetted

Our processAudit → Build → Embed Engagement tiersScoped to your stage Evals & MLOpsEval-gated delivery

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SI project · E-commerce · 2024

Butcher Box AI

Personalized meal-plan recommender built to lift basket size while keeping outputs auditable for the merchandising team.

Category: SI project
Client: DTC food brand
Year: 2024
Sector: E-commerce
What we did: LLM Apps, Personalization, MLOps

Butcher Box AI

The challenge.

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

Butcher Box AI

Our approach.

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

Butcher Box AI

The outcome.

Basket size grew while the team kept full visibility into why each plan was recommended.

Built with

Tech stack.

Tech stack

Claude Sonnet 4.6
Python
dbt
Snowflake
React

What we did

LLM Apps
Personalization
MLOps

Available for new engagements

Have an SI system that needs to ship?

30 minutes, one of our seniors, no slide deck. By the end of the call you will know whether we are the right team, and if not, who is.

Get a production-readiness review Email info@octalcode.com

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