Sourcing Agent

Normalises supplier quotes, scores them within your weights, and drafts negotiation bounds you set.

  • Quote normalisation across currencies, incoterms, and lead times
  • Award recommendation against weighted cost, risk, and service criteria

Watch it catch a real case.

Synthetic documents, the same steps the product runs. Pause or replay any time.

ProcureAI · Sourcing Agent

Sourcing event inside delegated limits

The document arrives. Nothing has been read yet.

RFQ comparisonRFQ-2026-014IT peripherals · Illustration · demo dataWaiting
  1. Need: 120 secure tokens · delivery by 15 October 2026
  2. Bid A — $46.80/unit · lead time 21 days
  3. Bid B — $48.10/unit · lead time 10 days (incumbent)
  4. Delegation: buyer may award up to $6,000 without committee
  5. Total Bid A: $5,616 · Total Bid B: $5,772
  6. Policy: price not sole factor — security certification required
Outcome

Award packet ready for signature

A person makes the final call

What it checks.

AI sourcing and RFQ agent.

  • Extraction of line-level price, MOQ, lead time, and payment terms from quote PDFs
  • FX and unit-of-measure conversion using your treasury reference rates
  • Weighted score within ceilings you configure — the agent cannot exceed your negotiation band
  • Audit trail of assumptions when a quote field was inferred rather than explicit

Try it on your document.

  1. 1

    Open the ProcureAI live demo or trial workspace from the product home.

  2. 2

    Load the sample RFQ event with three supplier quotes in different formats.

  3. 3

    Compare the agent’s normalised grid and approve the award recommendation yourself.

Your team stays in control.

  • Negotiation limits are hard caps in configuration, not suggestions the model can override.

  • Award and PO release require buyer approval.

  • Inferred fields are labelled before they influence a score.

Why it matters.

Sourcing teams drown in incompatible spreadsheets. An RFQ agent should normalise quotes, show the trade-offs clearly, and stay inside negotiation limits buyers define — not send awards autonomously.

ProcureAI’s Sourcing Agent extracts structured fields, converts units, and produces a ranked comparison with assumptions visible. Buyers remain the economic decision-makers.

Start in the demo workspace to watch quote normalisation on Summit Regional Group’s sample event, then talk to us about a pilot on your categories.

Worked example on demo data

Three carriers bid on Summit Regional Group’s regional parcel lane. One quote excludes fuel surcharge, another quotes in EUR with 45-day terms.

The Sourcing Agent aligns units to cost per package, applies the fuel table from the RFQ instructions, and ranks options with the weighting procurement supplied (40% cost, 35% transit time, 25% service level).

The buyer sees the maths, adjusts weights in the UI, and records the award — the agent does not send the PO.

Questions buyers ask.

Can it email suppliers?

Production can integrate with your RFQ portal or email workflows; the public demo simulates inbound quotes only.

Does it choose the cheapest bid?

It scores against your weights. Cheapest line items may lose on lead time or risk tier.

How do we try it without an RFQ?

Use the live demo event on synthetic data, or contact us for a pilot on redacted historical awards.

What about single-source events?

The agent still documents policy exceptions and approval requirements; it does not bypass them.

A GOOD PLACE TO START

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We’ll build the way forward.

Let’s talk about your project

A conversation about your goals, constraints, and next step.