Operations · Azure AI Foundry
Real-time supply chain risk analysis built on Azure AI Foundry. Ingests logistics, supplier, and demand data — uses Azure OpenAI to interpret risk signals and surface recommended actions before disruptions hit production.
How It Works
We connect your logistics systems, supplier databases, and external data feeds into Azure Data Factory pipelines — creating a unified operational data layer.
Azure OpenAI reads the unified data stream and identifies risk patterns — supplier delays, port disruptions, demand spikes — contextualised against your specific supply network.
When risks exceed configured thresholds, the agent generates specific, actionable recommendations and routes them to the right stakeholders via Teams or email.
Capabilities
Ingests logistics feeds, supplier APIs, weather data, port status, and demand signals via Azure Data Factory — unified into a single risk intelligence layer.
Azure OpenAI translates raw risk signals into plain-English briefings for procurement and ops teams — no data science skills required to understand the output.
When a supplier or logistics lane shows elevated risk, the agent generates specific alternative routing options with cost and lead-time comparisons.
Pulls demand forecast data from your planning system and cross-references against supply risk signals to prioritise which disruptions matter most.
Continuously scores each active supplier on reliability, financial health signals, geographic concentration, and recent delivery performance.
Power BI Embedded dashboard surfacing top-5 supply risks, recommended actions, and trend data — updated in real time as new signals arrive.
Built With