
Fast-paced cafes and restaurant groups generate thousands of daily transactions across coffee blends, pastries, and lunch items. Managers are too busy on the floor to analyze gross margin shifts, milk expiration curves, or customer churn patterns. We built an autonomous multi-agent platform where specialized LLM agents debate price elasticity, perishable inventory, and customer footfall to deliver verified daily pricing briefs automatically.
Our key engineering goals were to:


Store managers spent 3–4 hours each week manually reconciling POS exports into pricing rules. Promotions were decided purely by intuition rather than ingredient spoilage and demand elasticity.

We built an autonomous multi-agent BI system powered by Groq-accelerated Llama-3-70B models with a strict consensus arbitration loop and automated morning Slack summaries.
Core Architectural Solutions:
Technologies Deployed:
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The new CafePromo AI: Autonomous Pricing & Promotions delivers a seamless and trustworthy digital experience. It bridges client demands with real-time operations through intuitive interfaces, secure automated flows, and sub-second processing. Fast, scalable, and user-friendly, it sets a new standard for reliability and performance.