Agentic AI · B2B sourcing & procurement
Agentic AI for
B2B sourcing & procurement.
A B2B sourcing platform where a team of AI agents finds, scores, negotiates and settles deals between buyers and suppliers.
Why → Business model → Business analysis → The agents
Why we built it
The reason this project exists.
Sourcing is enormous, manual and slow — buyers and suppliers lose weeks finding each other and getting a deal across the line. It is the ideal proving ground for agentic AI: real rules, real money, clear value. So we built it.
Every BIXSO project starts the same way — with a real business problem worth solving, not a technology looking for a use. Then comes the model, the analysis, and the agents.
01 · Business model
It starts with the business.
Sourcing is a two-sided business: buyers with a need, suppliers with capacity — and value is created the moment the right two meet at the right terms.
- Buyers raise requests (RFQs); suppliers list catalogues and capacity.
- Value is created by matching well and fast — and lost to slow, manual search.
- Free to join; the platform earns on the AI work it does, not on the trade itself.
02 · Business analysis — the DNA
Then the rigour.
Matching well is not a search box — it is a domain with real processes, messy data and hard rules. We modelled the whole deal lifecycle before building anything.
- Match buyers ↔ suppliers
- Source & normalise catalogues
- Negotiate in a live deal room
- Monitor logistics & ETA
- Settle via smart escrow
- Specs, units & tolerances
- Supplier capability & credit
- Pricing & lead times
- Compliance & certifications
- Hard constraints (cert, region, MOQ)
- Confidence thresholds
- Escrow release conditions
- Fraud signals
- Which suppliers qualify
- How to rank trade-offs
- When to release payment
- When to ask a human
fig. — business analysis: decoding bixsourcing into processes, data, rules & decisions
The rules that let an agent act without going wrong
- A match shows only above a confidence threshold — below it, the agent asks; it doesn’t guess.
- Hard constraints (certification, region, minimum order) can never be traded away.
- Escrow releases only on confirmed logistics milestones — money follows proof, not promises.
03 · The agents at work
It ships as agentic AI — verified.
The product runs as a team of specialist AI agents — a supervisor routes each step of the deal to the agent built for it.
OrchestrationA Master AI Supervisor orchestrates the deal end to end, handing each stage to the right specialist.
Scores buyer–supplier compatibility in real time on industry, region, reputation and price.
Normalises RFQs, auto-categorises catalogues, forecasts prices and suggests qualified suppliers.
Scores supplier creditworthiness, reads partner behaviour and flags transaction risk.
Drafts contracts, analyses terms, flags legal risk and recommends a negotiation price.
Tracks shipments, detects delays, forecasts ETA and proposes alternative routes.
Triggers smart-escrow release on milestones and detects cash-flow anomalies and fraud.
Runs SWOT on each side, forecasts market trends and surfaces cross-sell opportunities.
What the product does
- Pair buyers and suppliers with an explainable score
- Run a live, AI-assisted negotiation
- Hold and release payment by smart escrow
- Watch logistics and flag risk autonomously
Guardrail. Agents act within guardrails — they match, draft and monitor; a human signs and approves. Every score is explainable; hard rules are never bent.
Live at bixsourcing.com — built on Firestore and Google Cloud Run across three regions, with a full end-to-end test suite.
Visit bixsourcing →What it means for you
Want this — grounded in your business?
bixsourcing is the BIXSO method, shipped: a business model, analysed with rigour, running as governed agentic AI. We start with the questions, not the tech.
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