Choco automates food distribution with AI agents
Summary
Choco, an AI-powered food distribution platform serving over 100,000 buyers, uses OpenAI APIs to power AI agents that automate order processing from multiple input types (emails, texts, images, voice calls). OrderAgent and VoiceAgent convert unstructured customer inputs into structured ERP (enterprise resource planning, a system that manages business operations) orders by learning from each customer's ordering history, achieving up to 50% reduction in manual work and error rates below 1-5%.
Solution / Mitigation
The source explicitly recommends three practices: (1) 'Start with evaluation from day one: Even a small ground-truth dataset (10–20 examples) enables teams to measure progress, validate improvements, and iterate with confidence.' (2) 'Invest in AI-native observability: Debugging AI systems requires more than traditional logs—capturing model inputs, outputs, and reasoning traces is essential to understand and improve performance.' (3) 'Set the right expectations early: Unlike deterministic software, LLMs are probabilistic. Educating teams and users on this difference is key to building trust and avoiding friction during adoption.'
Classification
Affected Vendors
Related Issues
Original source: https://openai.com/index/choco
First tracked: April 27, 2026 at 02:00 PM
Classified by LLM (prompt v3) · confidence: 85%