// AI for industrial distributors
AI for industrial distribution, tested on plant requests your counter already answered.
For industrial and MRO distributors selling bearings and power transmission, fluid power, cutting tools, fasteners and safety supplies to plants. Pick one job: a plant's part request matched to your item and quoted, or a plant's contract rebuilt as the catalog file its purchasing system loads. A free AI proof of concept runs it on copies of 20 to 30 your team already finished, with no login to your ERP or to any customer's portal. Your reviewer, the person on your team who knows that desk best, makes the pass or fail call.
- Open jobs
- Cross-reference quotes, or plant catalogs
- You send
- Copies of 20 to 30 finished ones, once the NDA is signed
- Logins
- None: no ERP, inbox, punchout site or customer portal
- Who decides
- Your reviewer, named by the owner
- Never
- A quote sent or a catalog uploaded
- Price
- A range first, a fixed figure before you sign
// Jobs we would test
Four jobs between your counter and the plant
Cross-reference quotes
A worn bearing number, a brand the plant used to buy, a photo of a fitting: matched to an item you carry, with the basis for the match on the line, and drafted as a quote for your counter.
See the cross-reference pagePunchout and hosted catalogs
A plant's contract items and prices rebuilt as the CIF file, CSV template or punchout price list its purchasing system expects, for your catalog coordinator to check and upload.
See the catalog pageVendor-managed bins
Storeroom counts and bin scans from the plants you stock, turned into replenishment orders, with any min or max that looks wrong marked for your rep.
See the vendor-managed inventory pageCerts with the order
Certificates of conformance and material certs collected for the fastener and fitting lines a plant wants them on, checked against the order before it ships.
Read the certificates page// Why these two first
A plant asks for what broke, not for what you stock
The request starts in maintenance. A mechanic reads the number off a worn bearing, names the brand the line was built with, or sends a phone photo of a fitting with the threads showing. Your counter turns that into an item you carry and a price, and says whether the match is exact or an equivalent someone should approve. Each request answered that way sits in your files beside the quote that went out, so every AI draft can be graded against what your team actually quoted.
One counter, many numbering systems. The Industrial Supply Association, which dates its history to 1902, calls this channel MROP: maintenance, repair, operations and production. PTDA, with more than 300 member companies, speaks for power transmission and motion control, or PT/MC. One morning can cross bearings, a hydraulic adapter, a carbide insert and a case of cut-resistant gloves, each coded its own way.
Manufacturer data is getting more uniform. PTDA and the Bearing Specialists Association built the PIE Template, so registered manufacturers keep bearing and PT/MC data in one format and choose which authorized distributors see each category; its latest announcement listed 35 categories. That cleans up your side of the match. The plant's side still arrives as a worn stamp, an old brand or a rough description, and that is what the quote test grades.
Plant purchasing is the second desk. Larger plants often buy through e-procurement systems that want your items in their own file, with the contract price and a classification code on every line. UNSPSC, the usual code, has four two-digit levels from segment to commodity, and the UN Development Programme has run it since January 2025, after GS1 US. Some buyers use ECLASS, with about 48,000 classes and more than 23,000 defined properties. The files your team already built from past contracts are the answer key.
Nothing reaches a plant. No quote goes to a buyer, no equivalent is approved, no catalog is uploaded, and nobody logs in to a customer's portal or your punchout site. The test returns drafts on a review sheet, and your reviewer compares each one with what your team did.
// How it runs
Choose a desk, test it, then decide
- Step 01
Copies, after the NDA
Send 20 to 30 finished examples of one job: plant requests with the quotes your counter sent, or contract updates with the catalog files your team built. If they can't leave the building, we build look-alikes with your team.
- Step 02
Your reviewer grades it
The owner names the reviewer before day one, the success criteria go in writing, and you get a price range for the live job. Your reviewer sets every draft beside your team's work and marks it.
- Step 03
About 30 days live
After a yes, the same job runs on new requests or contract changes for about 30 days. A person approves each quote before a plant sees it, and each file before it is uploaded. Another job is decided and priced on its own.
Every job here carries its own price: a range before the test, then a fixed figure before you sign.
Rob sets the range on the first call from your monthly volume: the cross-reference requests your counter answers, or the plant catalogs and contract updates your team keeps up.
// Questions
What industrial distributors ask first
Do we need a cross-reference database for this?
Will it quote brands we don't carry?
Our plants buy through Ariba and Coupa. Do you log in to them?
Which ERP does it need?
Who should our reviewer be?

Rob Eason, founder
// Book a call with Rob
Start with last month's plant requests.
A 30-minute call with Rob. He asks three things: your company and your role, which job you want tested, and about how many cross-reference requests or catalog updates your team handles in a month. Hold every file until the NDA is signed.
- Co-owned a 60-employee financial services firm and sold his share to his partner.
- Ran GOSO Technologies, a Boston solar company rated 5/5 across 24 Google reviews.
- 5/5 across 83 reviews in HighLevel's Certified Admin Directory.
- 4.3/5 from 6 Google reviews of Massmarket AI.
- Every directory and Google review, critical ones included, is shown word for word at massmarket.ai/reviews.
- Takes every proof-of-concept call himself.
