Inspiration--Current procurement systems excel at storing invoices and transaction logs, but completely lose the human reasoning behind them. The trade-offs considered, vendor negotiation nuances, and historical mistakes are buried across scattered emails and chat threads. We wanted to shift the focus from simple document search to Decision Intelligence—building a system that captures organizational memory so future teams never repeat past procurement mistakes. what is does-- Our AI Procurement Decision Intelligence Engine acts as an expert analyst working 24/7 by integrating four core pillars:
Bid Intelligence: Automatically extracts and structures complex line items from unstructured vendor quotation PDFs for direct comparison.
Reliability Feedback Loop: Uses Vision-Language Models (VLMs) to analyze site photos, verifying vendor commitments and logging their actual efficiency into the system.
Market Forecasting: Employs localized data science models to project commodity price trends (like steel and cement), signaling cost risks before decisions are finalized.
Context Layer (RAG): Manages a localized Knowledge Graph and Vector Database, allowing users to ask why a historical decision was made and instantly receive data-backed context.
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