Autonomous Requirement-to-Quotation Procurement System
Transform procurement requests into evaluated quotations with an autonomous AI agent.
Problem Context
Procurement teams process hundreds of requests manually — extracting requirements from emails and documents, normalising specifications, soliciting vendor quotes and evaluating trade-offs under cost and compliance constraints. This is repetitive, time-consuming and error-prone.
Challenge Requirement
Build an AI agent that extracts requirements from unstructured requests, normalises specifications, checks constraints, analyses costs and trade-offs, detects anomalies, simulates vendor clarification and negotiation, and routes for approval.
Mandatory Capabilities (8)
Illustrative Scenario
A facilities request arrives as a loosely formatted email. The agent extracts 12 specifications, normalises units, identifies a non-compliant cheaper vendor (missing required certification), flags the anomaly, simulates a clarification exchange to request compliance documentation, and presents an evaluated shortlist to the procurement manager for approval.
Safety & Governance Rules
Vendor selection decisions must include an explicit compliance check. Any non-compliant vendor recommendation must be clearly flagged with the specific failed criterion.
RECOMMENDED EXECUTION TRACE
BUILD REQUIREMENT
Demonstrate requirement extraction from unstructured input, specification normalisation, vendor evaluation with anomaly detection, simulated negotiation, and approval workflow.