Solution
AI-Powered Procurement Intelligence
Collect supplier quotations in any format and produce a normalised, auditable comparative sheet — line by line, with the arithmetic checked for you.
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.
- 0:00 Receiving supplier quotations
- 0:45 Extracting line items and commercial terms
- 1:30 Normalising units, currency and scope
- 2:20 Comparative sheet and exceptions
Recorded product walkthrough. Figures shown are sample data.
The problem
Why this process resists automation
Every supplier answers the same RFQ differently — different item descriptions, different units, different bundling, different tax and delivery terms. Building a fair comparison is a manual spreadsheet exercise that takes procurement analysts days and is difficult to defend in an audit.
- — Quotations arrive as PDF, Excel, scanned letterheads and email bodies
- — Suppliers rename, merge or split the requested line items
- — Units, pack sizes and currencies differ between responses
- — Freight, installation, warranty and tax are quoted inconsistently
- — Comparative sheets are rebuilt by hand for every revision round
- — Award decisions are hard to evidence when the working is in a spreadsheet
Today
How the work happens now
- 01Quotations are collected in a mailbox or procurement portal
- 02An analyst opens each file and copies prices into a spreadsheet
- 03Item descriptions are matched to the RFQ list by eye
- 04Units and currencies are converted manually
- 05Totals and discounts are recalculated to catch keying errors
- 06A comparative statement is formatted and circulated for approval
How PrismIQ solves it
AI-Powered Procurement Intelligence with document intelligence
Any quotation format, one structure
PrismIQ reads PDF, Excel, scanned and photographed quotations and returns the same structured response for each supplier, without per-supplier templates.
Line-item matching to the RFQ
Supplier descriptions are mapped back to the requested RFQ items, including merged, split and renamed lines, with the match shown for confirmation.
Normalisation before comparison
Units, pack sizes, currency, incoterms and tax treatment are normalised so the comparison is like for like rather than headline price against headline price.
Arithmetic and completeness checks
Extended prices, discounts, freight and taxes are recomputed, and missing or non-responsive lines are flagged instead of quietly scoring as zero.
Comparative sheet with evidence
The output is a comparative statement where every figure links back to the page and region of the supplier quotation it came from.
Documents
Document types handled
Extraction
Data captured
- Supplier name, contact, validity and reference number
- Item code, description, specification and brand offered
- Quantity, unit of measure, pack size and unit price
- Discounts, extended price, freight, installation and taxes
- Currency, incoterms and payment terms
- Delivery lead time, warranty and compliance statements
Validation
Checks applied to every document
- Quantity × unit price reconciles to the extended line price
- Line totals roll up to the quoted grand total
- Currency and unit of measure normalised to the RFQ baseline
- Missing, substituted or non-responsive RFQ lines flagged
- Quotation validity date still open at the evaluation date
- Duplicate or superseded revisions detected across submissions
Workflow
End-to-end processing flow
- 1Ingest the RFQ baseline and supplier quotations
- 2Classify each submission and identify its revision
- 3Extract line items and commercial terms
- 4Match supplier lines to RFQ lines
- 5Normalise units, currency and scope
- 6Validate arithmetic and completeness
- 7Publish the comparative sheet and route exceptions for review
Integration
Where the data goes
Security
Deployment and control
Outcomes
What changes for the business
Faster evaluation cycles
Comparative statements are prepared on submission rather than after a manual collation round.
Like-for-like comparison
Normalisation removes the unit, currency and scope differences that distort headline pricing.
Defensible awards
Every figure in the comparison carries its source document, page and confidence.
Fewer rebuild cycles
Revised quotations are re-processed into the same sheet instead of restarting the spreadsheet.
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 AI-Powered Procurement Intelligence into straight-through processing
Book an enterprise demo and we will walk through your document types, validation rules and integration architecture.