Real-time VRPTW optimization paired with an agentic AI pipeline. Multi-source crisis intake to vehicle route dispatch in under 3 seconds.
Manual dispatch relies on static spreadsheets and delayed radio reports, leading to overlapping routes and wasted rescue windows.
Disaster reports enter via social posts, voice notes, and raw SMS. Manual triage takes hours to estimate supply demands.
Relief trucks cross paths without coordinate optimization, doubling fuel consumption and delaying critical aid delivery.
When site priorities shift dynamically, legacy systems fail to recalculate vehicle time windows in real time.
Powered by LangGraph multi-agent orchestration and Gemini AI.
Extracts coordinates, urgency metrics, and supply requirements from unstructured field text and multi-channel inputs.
Ranks disaster zones 0–100 by population density, severity, and urgency time-caps with dynamic reweighting.
Solves vehicle routing with capacity and time windows using mathematical constraint programming in real time.
Issues turn-by-turn vehicle manifests and monitors real-time GPS telemetry streams for live rerouting.
Google OR-Tools solves VRPTW using real OSRM driving distances and dispatches optimized manifests in under 3 seconds — for any number of active disaster sites.
Experience real-time AI report intake, automated site prioritization, and instant vehicle route solving in the live operations cockpit.
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