Procurement analysts do the reading nobody else has time for: pulling price schedules, SLAs, and terms out of hundreds of inconsistent supplier PDFs to feed a sourcing model or a negotiation brief. Vallor works as an AI coworker that extracts those fields at scale, answers plainly with the source cited, and hands you clean data for the category work instead of another week of copy-paste.
- Use this page if you extract contract data to feed category strategy, supplier comparison, and negotiation prep.
- Start with the messy contract folders and spend data you already have.
- Measure value through hours saved on extraction, cleaner comparisons, and tail spend finally in view.
What teams need
Fast extraction
Analysts should not hand-key price schedules from PDFs. Terms, tiers, and SLAs need to come out clean and comparable across a category.
Supplier comparison
A good sourcing model needs like-for-like terms. That means the same fields pulled the same way from every agreement.
Tail spend visibility
The long tail of small contracts hides duplicate suppliers and orphaned spend. Analysts need it surfaced, not ignored.
How Vallor helps
- Point Vallor at the contract folders, CLM exports, or drives where supplier agreements pile up.
- Extract pricing, tiers, SLAs, terms, and renewal dates as structured fields, each with its source cited.
- Ask which suppliers in a category beat a target price or where SLAs differ, and get answers you can drop into a model.
- Feed the clean, comparable data into category strategy, spend cubes, and negotiation briefs.
- Reconcile against AP to surface tail spend, duplicate suppliers, and orphaned contracts.
Evaluation checklist
| Question | Why it matters | Good answer |
|---|---|---|
| Can it extract fields at scale? | Hand-keying PDFs is where the week goes. | Yes, terms and schedules come out structured and cited. |
| Are the fields comparable across suppliers? | Sourcing models need like-for-like data. | Yes, the same clause types are pulled the same way each time. |
| Can it surface tail spend? | Small contracts hide duplicate and orphaned spend. | Yes, reconciling against AP flags the long tail. |
| Is each extracted value traceable? | Analysts get asked to prove the number. | Yes, every field carries its page, paragraph, and line. |
Last updated: 2026-05-21. This page is part of Vallor's contract intelligence content library.
FAQ
How much of the manual extraction can Vallor take off my plate?
Vallor reads supplier PDFs and pulls pricing, tiers, SLAs, terms, and renewal dates as structured fields, each with its source location cited. Instead of hand-keying contract data into a spreadsheet, you get clean fields you can drop straight into a sourcing model.
Can Vallor compare suppliers across a category?
Yes. Because it extracts the same clause types the same way from every agreement, the terms come out like-for-like, so you can rank suppliers on price, SLAs, or commitments without normalizing the data by hand first.
Does Vallor help find tail spend?
It reconciles your contract repository against AP records to surface the long tail of small agreements, duplicate suppliers, and orphaned spend that usually slips past category reviews.
Can I trust the extracted numbers for a negotiation brief?
Every extracted field carries its page, paragraph, and line, so when someone questions a figure in your brief you can point straight back to the clause it came from.