🏆 Best Use of Microsoft Foundry — Microsoft AI Dev Days Hackathon · 2026
I am honored to share that TrafficIQ — Supply Chain Transport Intelligence won the Best Use of Microsoft Foundry Project award at Microsoft’s AI Dev Days Hackathon. The hackathon brought together a global community of 2,041 registrants and 401 submitted projects, with winners selected across two Grand Prize categories and four special category awards.
What TrafficIQ does
TrafficIQ is an enterprise-grade multi-agent AI platform built entirely on the Microsoft AI Platform. It brings real-time traffic intelligence into fleet, logistics and supply-chain workflows — so dispatchers, drivers and operations leaders can make smarter routing and delivery decisions before disruptions hit the bottom line.
The Microsoft stack underneath
- Azure AI Foundry — model hosting, agent orchestration and evaluation
- Microsoft Agent Framework — multi-agent coordination and tool calling
- Azure Maps — routing, traffic incidents and geospatial intelligence
- Azure IoT Hub — fleet GPS telemetry and vehicle sensor streams
- Dynamics 365 Finance & Operations — orders, shipments and field service
- MCP (Model Context Protocol) — standardised tool integration across agents
- Dataverse, Power Apps & Power Automate — the human-in-the-loop UI and workflow layer
TRAFI — the multi-agent core
At the heart of TrafficIQ is TRAFI, a multi-agent AI orchestration system with 6 specialist agents and 49 composable tools. The agents proactively monitor traffic incidents, optimise delivery routes, and reduce operational disruptions before they impact supply chains. Each agent owns a clear responsibility — incident monitoring, route planning, ETA recalculation, fleet health, customer notifications, escalation — and they coordinate through the Microsoft Agent Framework.
What the platform delivers
- ✅ Real-time traffic awareness across the fleet
- ✅ Intelligent route optimisation with live re-planning
- ✅ Fleet GPS visibility and IoT telemetry
- ✅ Predictive maintenance insights
- ✅ Automated ETA updates to customers
- ✅ Field service & inventory management
- ✅ Enterprise notifications and operational dashboards
Why this project
This project was focused on solving practical enterprise challenges using agentic-AI patterns and Microsoft technologies in a production-oriented architecture. Hackathon code often optimises for the demo. With TrafficIQ I tried to optimise for what would survive a 3-month production hardening cycle: typed contracts between agents, explicit human-in-the-loop checkpoints, and a Dataverse-backed operational model that an enterprise IT team could actually own.
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