AI, Security & CollaborationProblem 2 of 5
AI & AgentsHardDeep Dive available
Design AI Agent Platform for Restaurant Ops
Design a multi-tenant AI agent platform that monitors restaurant operations across thousands of restaurants. The system ingests real-time data from POS systems, delivery platforms (DoorDash, Uber Eats, Grubhub), payment processors, and inventory systems. It detects anomalies (revenue leaks, unusual refund patterns, commission errors), investigates them using LLM-powered agents with tool access, and triggers automated actions like dispute filing and reorder requests. Handle 50M+ events/day with sub-60-second detection latency.
Key Topics
Multi-Agent OrchestrationReal-Time Anomaly DetectionMulti-Tenant Data IsolationLLM Tool Use & MCPEvent-Driven Data PipelineCost-Optimized LLM Inference