E-commerce

E-commerce – Industrial MRO Marketplace: Seller & Buyer Trust Automation AI

Timeline: Build: 10 weeks. Deploy: seller tiers. Optimization: 9 weeks risk models.

Business overview

Industry: industrial MRO marketplace. Complexity: long-tail SKUs, fraud risk.

Common pain points

Manual catalog review, email RFQs, chaotic logistics.

Full AI automation system (PrimeAxiom solution)

Catalog Agent, Risk Agent, RFQ Agent, Logistics Exception Agent.

Automation workflow (detailed system flow)

1. Seller upload.
2. AI normalizes attributes.
3. Risk score.
4. Buyer RFQ ingested.
5. Matching sellers notified.
6. Orders tracked; exceptions routed.
7. Seller score updates.

AI agents & logic

Normalize Agent, Fraud Agent, Matching Agent, Carrier Agent.

Technical architecture

Search + vector, rules for high-risk categories, LLM for RFQ parsing.

Tools & integrations

Marketplace DB, carrier APIs, PostgreSQL, OpenAI, Elasticsearch

Results

Catalog approval time −58%; dispute rate −37%; RFQ-to-order conversion +26%; ops headcount per GMV −19%.

Timeline

Build: 10 weeks. Deploy: seller tiers. Optimization: 9 weeks risk models.