We are building an MVP for a client need: an edge-based, self-optimizing supply chain control system that continuously monitors operations, makes real-time decisions, and recommends or triggers actions. The system demonstrates a complete closed-loop pipeline: Vision → Reasoning → Orchestration → Prediction → Action Key capabilities: - Detects disruptions in real time using vision AI - Understands system behavior over time using AI - Simulates multiple corrective actions using a digital twin - Recommends the optimal action with measurable impact - Operates as a fully local, always-on decision loop - Controls processes through robotic execution
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