Choco automates food distribution with AI agents

Choco automates food distribution with AI agents Using OpenAI APIs, Choco processes millions of orders, reducing manual work and enabling always-on operations across global food supply chains. Results 8.8M+ Orders processed annually Results 200B+ AI tokens processed in production Results ↑50% Reduction in manual order entry Results 2x Sales team productivity without added headcount Choco(opens in a new window) is an AI-powered platform modernizing food and beverage distribution, serving over 21,000 distributors and 100,000 buyers across the US, UK, Europe, and the GCC. By connecting restaurants, suppliers, and distributors into a unified system, Choco streamlines ordering, sales, and customer management across the food supply chain. As order volumes grew, Choco hit a major bottleneck: orders still arrived through emails, texts, voicemails, images, and even handwritten notes. Teams manually translated those inputs into structured ERP orders—a slow, error-prone process that limited scale and created constant operational friction. “Processing those inputs was the first barrier, but not the hardest one. The real problem was implicit context: customer-specific SKU mappings, unit preferences, delivery patterns. That knowledge lived in the heads of order desk reps, and we needed to encode it into inference layers that resolve ambiguity at the point of order capture." With the emergence of production-ready LLMs, Choco saw an opportunity to move beyond workflow software and build AI systems capable of executing work directly. OpenAI APIs became central to that transformation. Choco embedded OpenAI APIs at the core of its platform to power a new generation of AI-native products. The company introduced OrderAgent(opens in a new window), which processes multimodal inputs—including emails, SMS, images, and documents—and converts them into structured, ERP-ready orders. “The transcription and extraction capabilities gave us a strong foundation. The real engineering challenge was building dynamic in-context learning infrastructure, so the system resolves ambiguity against each customer's ordering history and catalog. That's what separates automation from intelligence.” Choco has also built VoiceAgent(opens in a new window), powered by OpenAI’s Realtime API, enabling customers to place orders naturally over the phone with sub-second latency—even outside business hours. OpenAI was selected for its model performance, multimodal capabilities, structured outputs, and production reliability at scale. The ability to handle text, vision, and audio within a single ecosystem allowed Choco to unify previously disconnected workflows into one intelligent system. Implementation was fast and scalable. Using OpenAI’s SDKs and APIs, Choco rapidly integrated capabilities like speech-to-text, embeddings, and function calling into its infrastructure. The team also built a rigorous evaluation framework with ground-truth datasets, continuous monitoring, and A/B testing to ensure accuracy and performance in production. Adoption was driven by seamless integration across the entire ordering workflow. Customers didn’t need to change how they ordered—whether by phone, text, or email, the system adapted to them. - Processes over 8.8 million orders annually, eliminating millions of manual workflows - Achieves up to 50% reduction in manual order entry, freeing teams for higher-value work - Enables 2x productivity gains, allowing teams to scale without additional headcount - Maintains error rates below 1–5% with configurable automation…