claudeenmodel: claude-haiku-4-5
Choco Automates Food Distribution with AI Agents Powered by OpenAI APIs
Key Points
- 8.8M+ orders processed annually with 50% reduction in manual entry
- 2x sales productivity gains without additional headcount
- 24/7 voice and multimodal order intake with sub-second latency
Summary
Choco, an AI-powered food and beverage distribution platform, has deployed OpenAI APIs to automate order processing across its global network of 21,000 distributors and 100,000 buyers. By embedding AI agents into its core platform, Choco processes multimodal inputs (emails, SMS, images, documents, voice) and converts them into structured, ERP-ready orders with minimal manual intervention.
Key Points
- OrderAgent processes multimodal inputs and resolves customer-specific ambiguities using dynamic in-context learning against ordering history and catalogs
- VoiceAgent powered by OpenAI's Realtime API enables natural phone ordering with sub-second latency, available 24/7 outside business hours
- Processes 8.8M+ orders annually with error rates below 1–5%, achieving 50% reduction in manual order entry
- Delivers 2x sales team productivity gains without additional headcount by automating millions of manual workflows
- Unified multimodal ecosystem (text, vision, audio) eliminated previously disconnected workflows and reduced implementation complexity
- Rigorous evaluation framework with ground-truth datasets and continuous monitoring ensures production reliability at scale
Implementation Insights
- Started evaluation early with small ground-truth datasets (10–20 examples) to measure progress and iterate
- Built AI-native observability capturing model inputs, outputs, and reasoning traces for debugging and improvement
- Set probabilistic expectations with teams and users to build trust in LLM-based systems
- Seamless integration across ordering workflows required no customer behavior changes