AI-Driven Procurement Price Decisions
The agent automatically extracts item parameters from procurement documents, combines internal historical transaction prices with external market quotes, and enables end-to-end sourcing and price comparison through natural language.
Traditional procurement comparison is fragmented, slow, and hard to justify
Historical deals and contracts live in ERP, while market quotes and supplier updates are scattered across emails and web pages, forcing manual cross-system consolidation every time.
Procurement teams repeatedly copy, paste, and format quote data line by line; once categories and suppliers grow, turnaround slows and version chaos follows.
Supplier templates differ and parameter definitions vary, so teams must normalize fields manually before any fair comparison can be made.
Without trend baselines and market reference ranges, purchasing proposals are frequently challenged and sent back for more justification.
AI Orchestration from Document Upload to Price Decision
Upload RFQs or procurement plans and let AI identify specs, quantities, and delivery terms to create comparison dimensions automatically.

Connect purchasing history and live market signals in one foundation to eliminate manual data stitching.

Business users can query historical and market prices directly and get structured, auditable comparison outputs without SQL.

Every comparison records source and query path, making approvals faster and compliance reviews easier.

Powered by MatrixOne Intelligence, an enterprise-grade AI-native data foundation
Bring ERP records, market signals, and document content into one indexed and queryable foundation.
Automatically extract and normalize key fields from procurement documents to avoid manual field mapping.
Procurement and finance can run historical and market comparisons directly with plain-language prompts.
A procurement team managing 200+ categories spent 3-5 days per sourcing cycle due to manual quote consolidation and fragmented data lookup.
Supplier quote formats varied heavily, while internal historical prices and external market data lived in separate systems and required cross-team coordination.
Connected internal procurement history and external market feeds into MOI; buyers uploaded supplier quote sheets, AI extracted and aligned parameters, and natural language queries generated structured comparison reports instantly.
Book a 30-minute tailored demo to see how MOI connects to your current procurement stack.
Book a Demo