Live Use Case

A supplier quotation does not match the RFQ

Five quotations arrive for a material package. One excludes required items, another uses different units and two contain commercial assumptions buried in attachments. IntelliByld turns the responses into one comparable view before evaluation begins.

How it runs

Quotation reconciliation

Quotation reconciliation - live scenarioLIVE
Supplier QuotesPDF · XLSX · emailConstruction-trained SLMreads scope · terms · exclusionsKnowledge Graphmaps quote ↔ RFQ ↔ BOQBid Comparisonnormalised viewExceptionsmissing · excluded · inconsistentClarificationsdrafted for supplier
AI agentPhysical / siteShared operational state
Supplier documents are interpreted, mapped to requirements and converted into a comparable procurement decision.
The shift

From five different quotations to one decision-ready comparison

Procurement teams should not spend their time reconstructing what suppliers meant. IntelliByld uses construction context to extract commercial and technical details, relate them back to the requirement and make exceptions visible before a recommendation is prepared.

  • Read construction documents. The construction-trained SLM interprets quotation text, schedules, exclusions, units and commercial terms.
  • Map back to the requirement. The Knowledge Graph connects quoted line items to the relevant BOQ, specification and RFQ scope.
  • Keep procurement in control. Agents can draft clarifications and comparisons; supplier selection and award remain a procurement decision.
Run it on a live project

Comparable scope

Different supplier formats are translated into a common view tied to the original requirement.

Visible exceptions

Missing items, exclusions and inconsistent assumptions are surfaced before they distort the evaluation.

Faster clarification

Supplier questions can be prepared from the identified gaps instead of manually rebuilt line by line.

FAQs

What procurement receives, answered

Can IntelliByld understand supplier PDFs and spreadsheets?

The architecture is designed to interpret common procurement documents and connect extracted information to structured project records. Document quality and project-specific terminology can still require review during implementation.

Does the AI choose the winning bidder?

It can prepare a ranked or normalised comparison using agreed criteria, but the commercial award can remain a human approval decision with a recorded audit trail.

More use casesA critical material delivery starts slippingA lower-carbon material option appears during procurementA supplier proposes a material substitution after award

Turn supplier responses into a comparable decision

Connect one site and see it run in your own data during a focused project pilot.