Upload the weekly price files. Quote from them the same day.
Every supplier sends a different spreadsheet on a different schedule. Consigliote reads them all, checks them against what you had last week, waits for someone to approve the changes — and then that pricing is live in the quote builder, with stock, cost and margin in one view.
Built on a system that has been running a real rep agency's quoting for years, not a prototype.
The weekly rhythm
This is the whole loop. It takes minutes, not an afternoon, and nothing reaches a customer quote until a human has looked at what changed.
Drop the spreadsheet
Upload the supplier's .xlsx as it arrives. Columns are matched by name, so a supplier reordering or renaming their export doesn't break the import. A mailbox bot can fetch and post it automatically.
It gets checked
Row counts, price swings, duplicate parts, missing costs, dropped items. Anything suspect is quarantined with a reason rather than silently swallowed.
You approve the diff
See exactly what changed against last week — new parts, dropped offers, the biggest price moves — then publish. One click rolls back to the previous file if it looks wrong.
Quote from it
Search across every supplier at once: who has it, what it costs, what it's worth. Build the quote, set the margin, print or email it on your letterhead.
What that gets you
One number for equivalent parts
House part numbers group parts that do the same job across manufacturers — so you can quote what's actually on the shelf instead of what was asked for.
- Cross-references built once, applied everywhere
- Spec sheets attached to the number, not the maker
- Customer-facing aliases hide which distributor a price came from
Who sees what
Three roles, so the same catalogue is safe to share outside the office.
- Admin — uploads, approvals, users, price history
- Worker — cost, margin and real supplier names
- Customer — availability only. No pricing, no supplier identities, only their own carts
Want to see the matching engine on its own? A short interactive sample takes two messy supplier files and resolves them into one comparable view — in your browser, on fictional data.
Open the sample