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Choco AI Agents Automate Food Distribution

OpenAI Blog · Jul 9, 2026 · 1 min read · Read original article →

Curated by the Inblix editorial team


Choco, an AI-powered platform for food and beverage distribution, is using OpenAI APIs to automate order processing that used to rely on manual entry from emails, texts, voicemails, and handwritten notes. By building AI agents like OrderAgent and VoiceAgent, Choco processes over 8.8 million orders annually and handles 200 billion AI tokens in production. The system reduces manual order entry by 50% and doubles sales team productivity without hiring more people. The real breakthrough isn’t just transcription—it’s encoding the implicit knowledge order desk reps had about each customer’s SKU preferences and delivery patterns. Choco’s AI now resolves ambiguity in real-time, turning messy inputs into structured ERP-ready orders. VoiceAgent lets customers place orders naturally over the phone with sub-second latency, even after hours. Why it matters: As LLMs move from chatbots to invisible infrastructure, Choco shows how specialized AI agents can unlock massive efficiency in legacy industries where data lives across fragmented formats and human expertise is the bottleneck.

💡 Key Takeaways

  1. Choco's AI agents process 8.8 million orders annually, cutting manual order entry by 50% using OpenAI's multimodal APIs.
  2. The platform's 'dynamic in-context learning' encodes customer-specific knowledge like SKU mappings and delivery patterns that previously existed only in employees' heads.
  3. VoiceAgent powered by OpenAI's Realtime API enables natural phone ordering with sub-second latency, making AI operations available 24/7.
  4. Sales team productivity doubled without adding headcount, proving AI agents can scale operations without proportional labor costs.

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