🔍 The Problem
Businesses needed a way to rapidly assess sourcing risk and identify safer import alternatives, drawing from multiple disparate data sources including geopolitical news and trade flows.
🧭 Approach
Designed an LLM-powered agent integrating five data sources, including real-time geopolitical news and trade flow data, to answer natural language queries about sourcing risk.
⚙️ Solution
Built a conversational agent that helps businesses assess sourcing risk and identify safer import alternatives through natural language queries, achieving an average response faithfulness of 95%.
📈 Impact
Enabled non-technical stakeholders to interact with complex, multi-source supply chain data instantly through natural language.