Solution
RFQ and Supplier Quotations Into One Comparison
Requirements are read from the RFQ, every supplier quotation is extracted, lines are matched and normalised, and you get a side-by-side comparison with ambiguities flagged for review.
Platform in action
See it working on real documents
A recorded walkthrough of the solution, end to end.
RFQ comparative sheet — product walkthrough
A recorded walkthrough of PrismIQ building a comparative statement from multiple supplier quotations, including line-item normalisation and the recommendation view.
Recorded product walkthrough. Figures shown are sample data.
The problem
Why this process resists automation
Every supplier answers an RFQ in its own format, wording and units. Building a fair comparison means re-typing each quotation and deciding, line by line, whether offers really match the requirement.
- — Quotations arrive as PDFs, spreadsheets, scans and email text
- — Suppliers describe the same item differently (e.g. 500 L/min vs 0.5 m³/min)
- — Lines are merged, split or omitted compared with the RFQ
- — Currencies, units, delivery and payment terms differ
- — Spreadsheet errors carry straight into award decisions
Today
How the work happens now
- 01RFQ issued and quotations collected by email
- 02Each quotation re-keyed into a comparison spreadsheet
- 03Lines matched to the RFQ by reading descriptions
- 04Units and currencies converted manually
- 05Totals re-calculated and checked
- 06Comparative statement circulated for approval
How PrismIQ solves it
RFQ & Quotation Comparison with document intelligence
RFQ requirement extraction
Item, quantity, specification, delivery requirement, warranty and commercial terms are read from the RFQ to form the baseline.
Quotation extraction
Supplier, items, quantity, unit and total price, currency, delivery, warranty, payment terms and technical specification are captured from each quotation.
AI-assisted semantic matching
Supplier lines are matched to RFQ lines even when worded differently. Matching is assistive — it does not guarantee technical equivalence, and ambiguous matches go to review.
Normalisation
Capacity, material, unit of measure and currency are normalised to the RFQ baseline, with the original quoted value kept alongside.
Gap and deviation detection
Missing lines, quantity differences, specification deviations and non-compliant terms are flagged per supplier.
Comparative statement
A side-by-side comparison is produced for your committee, with each value linked to its source document. The award decision stays with you.
Documents
Document types handled
Extraction
Data captured
- Item description and specification
- Quantity and unit of measure
- Unit price, total price and currency
- Delivery period and Incoterms
- Warranty
- Payment terms
- Supplier name and quotation reference
Validation
Checks applied to every document
- Each RFQ line has a matching supplier line, or is flagged as missing
- Quoted quantities compared with required quantities
- Line totals equal unit price × quantity
- Quotation total equals the sum of its lines
- Specification deviations highlighted for review
- Delivery and warranty compared with RFQ requirements
Workflow
End-to-end processing flow
- 1RFQ and quotations received
- 2Requirements extracted from RFQ
- 3Each quotation extracted
- 4AI-assisted line matching
- 5Units and currencies normalised
- 6Ambiguous matches reviewed
- 7Comparative statement produced
Integration
Where the data goes
Security
Deployment and control
Outcomes
What changes for the business
Comparison in hours, not days
Re-keying of supplier quotations is largely removed.
Like-for-like evaluation
Units, currencies and descriptions are normalised before comparison.
Fewer arithmetic errors
Line and quotation totals are recalculated automatically.
Auditable award trail
Every compared value links back to the supplier document.
Outcomes describe the design intent of the solution. Actual results depend on document complexity, workflow design, integration requirements and deployment environment.
Frequently asked questions
Bring RFQ & Quotation Comparison into straight-through processing
Book an enterprise demo and we will walk through your document types, validation rules and integration architecture.