The difficult problem
Static spreadsheets and manual routes exposed operations to stockouts, delays and slow reaction.
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Supply-chain intelligence
RoutePilot
A decision engine that forecasts demand, optimizes inventory and routing, and replans around live disruption.
AutonomousPlatformResearch
Built around the hard part
The constraint shaped the intelligence.
The intelligence built
Probabilistic forecasts feed a constrained solver while live events trigger cost-aware replanning.
How the system works.
The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.
Probabilistic forecast
Acquire and structure the operating signal.
Joint optimization
Transform it through the model, rules and control layer.
Live control tower
Deliver a decision, artifact or action into production.
Where it runs
Connected to ERP events, geospatial data and telematics streams.
What it changes
Planners can see trade-offs and act on current conditions rather than yesterday’s plan.
Production stack
PythonOR-ToolsLightGBMKafkaPostGISNext.js
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