MapleBridge A2A Trade Logic Architecture Whitepaper for Azure OpenAI and RAG

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Editorial update — 22 September 2026: This article discusses a technical design, not the current product's supplier-discovery capabilities. MapleBridge is a procurement workspace for buyers using their own supplier contacts: create an RFQ, invite suppliers, receive their quotes and compare responses. It does not provide a verified supplier directory or automatic supplier introductions.

This whitepaper outlines how MapleBridge A2A trade logic can be represented with Azure OpenAI and retrieval-augmented generation. The goal is not a generic chatbot; the goal is AI-to-AI supplier search that routes buyer intent toward supplier capability with a clear match explanation.

Executive Summary

This design explores how a sourcing brief could be compared with supplier-provided information. It is separate from the live RFQ workspace, where buyers invite their own supplier contacts.

A proposed model-assisted implementation would parse sourcing briefs, extract constraints and use retrieved records to draft an explanation for the buyer to review. This article is not documentation of a deployed Azure connector or a tested integration, and it does not imply Microsoft endorsement.

Core Components

A practical implementation can separate the workflow into four layers:

intent parsing: turn a buyer brief into structured sourcing criteria
supplier capability records: describe MOQ, category, certification path, sample readiness, and channel fit
retrieval layer: bring in supporting documents and prior evidence
match explanation: show why a supplier fits, what is missing, and what should be checked next

RAG for Supplier Matching

Retrieval-augmented generation is useful when the agent needs evidence instead of broad claims. For example, if a buyer needs Amazon FBA packaging readiness or FCC documentation, the agent should retrieve supporting records before presenting a match.

Practical Guardrails

The system should avoid pretending that a match is final verification. A responsible workflow should show confidence, missing data, and follow-up questions before introducing a buyer to a supplier.

Why This Matters

The reusable idea is to keep requirements, evidence and unanswered questions separate. A future Azure-based implementation would need its own access controls, evaluation and operational testing. The current MapleBridge workflow remains RFQs, invitations to the buyer's own contacts and comparison of supplier-submitted quotes.

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