Solutions · Wholesale & distribution
Distribution runs on documents: POs, RFQs, invoices, spec sheets. AI document extraction is the most mature, highest-ROI automation there is - and it's exactly what your inbox is full of.
Sound familiar?
POs arrive as PDFs, emails, and faxes, then get typed into the ERP. Manual entry error rates of 1-4% per field mean wrong-quantity shipments, credits, and chargebacks every week.
33% of B2B online orders contained errors - 2025 surveys
In make-to-order work, the first credible quote sets the benchmark. Shops that automated quoting respond ~3x faster - and their win rates show it.
29% of B2B buyers report price inaccuracies and 28% stock inaccuracies from their suppliers. Stockouts in the spike, overstock in the lull.
Supplier invoices checked against POs and receipts manually - while 55% of B2B invoiced sales in the US sit past due.
~14 hrs/week chasing overdue invoices - QuickBooks 2025
Where's my order, what's my price, is it in stock - hours of calls and emails answering questions a portal bot should handle.
68% of B2B buyers avoid suppliers they can't self-serve with
What we'd build for you
01
Every emailed, PDF'd, or faxed PO parsed automatically into your ERP as a draft sales order - with a human-review screen only for low-confidence lines.
The outcome
Rekeying eliminated; order errors and the credits they cause drop ~25%.
02
RFQ documents extracted, priced against your cost rules and quote history, drafted for sales approval within hours.
The outcome
You're first in - and first-in wins disproportionately in make-to-order work.
03
Customers check order status, live stock, their contract pricing, and reorder past items via chat or portal, 24/7 - with account-level data isolation so pricing never leaks between customers.
The outcome
Office staff stop answering the same three questions and start managing accounts.
04
Invoice OCR with three-way match, exceptions to a human queue, and an automated overdue-invoice chase ladder that stays polite and relentless.
The outcome
The 14-hours-a-week collections drain becomes a reviewed exception list.
05
AI demand forecasting per SKU with reorder recommendations and a weekly 'will stock out in N days' alert to purchasing.
The outcome
Fewer emergency POs, less dead stock, better fill rates.
A note on doing this properly: ERP write-access gets guardrails: agents propose, humans post - until trust is earned with a track record. Contract pricing is isolated per account, and big-box EDI exception handling gets SLAs, not best effort.
Why Peligent for this
We import, extract, classify, and price catalogs for our own retail businesses - 1,464 products AI-classified on one of them, supplier sheets to live listings on autopilot. Document extraction into business systems is the exact machinery we run, at our own risk, every week.
Read the catalog case study →A distributor's inbox, self-processing
08:12 po-extract ✓6 emailed POs drafted into the ERP
09:45 quote-engine ✓RFQ priced, awaiting sales approval
11:20 b2b-bot ✓order status + reorder handled
14:33 ap-match ✓12 invoices matched, 1 exception
16:00 stock-radar ✓SKU 4417 stockout risk in 9 days
Common questions
Modern extraction reads PDFs, emails, and even faxes with high accuracy - and everything below a confidence threshold goes to a human review screen instead of into the ERP. Compare that with manual rekeying at 1-4% errors per field, and the machine wins on both speed and accuracy.
Almost certainly - we integrate through your ERP's API or import layer, and agents propose entries for a human to post until you've seen enough of a track record to automate fully. Guardrails first, autonomy earned.
Usually order intake or quoting - both are document-extraction problems with immediate, measurable ROI (fewer credits and chargebacks; quotes out the same day instead of day five). The audit tells you which one pays back faster in your operation.
Bring a week's worth of POs and RFQs to the discovery call - we'll tell you exactly what a same-day operation looks like.
No slides. No hype. 30 minutes.
