Item master cleanup
fixes the operating record: item numbers, units, pack sizes, catch weight, case weights, cost and status. It's what orders, picks and invoices run on.
Short answer: To clean up your item master, name one owner, export every item, merge duplicates under one item number, fix each item's selling unit and pack size, set up catch weight on variable-weight items, add case weights, the supplier's GTIN where one exists, allergens and storage, rewrite names so buyers can find them, retire dead items, and then add required fields so new items stay clean. The item master feeds every order, pick, invoice, price and report, so it is the first thing to clean before a new ERP, an online store, AI or robotics.
The item master is the ERP's record of each product a distributor sells: item number, name, pack size, selling and stocking units, case weight and dimensions, catch-weight setting, category, allergens, storage, vendor and cost. Every order, pick, invoice, price level and report starts from it. In food distribution it carries extra weight because the same product is bought by the case, sold by the case or the each, and billed by the pound.
Illustrative examples, not a client's data.
| Sign | Example | What it causes |
|---|---|---|
| Duplicate items | The same mozzarella under two item numbers | Split stock counts, wrong reorders, customers ordering the wrong one |
| Wrong unit or pack size | A 4 x 5 lb case set up as one 5 lb unit | Mispicks, wrong invoices, wrong cost and margin |
| Catch weight set up as fixed weight | Whole ribeyes billed at a nominal 60 lb a case | Heavy cases ship product you don't bill for |
| Abbreviated, all-caps names | CHS MOZZ SHRD LMPS 4/5# | Customers can't find it online, and AI can't match orders to it |
| Empty fields | No case weight, allergen or storage on many items | Routing, search and buyer questions all fall back to people |
| Dead items still active | Items with no sales in a year still on order guides | Cluttered order guides and search, stale prices |
| Field | What "clean" means |
|---|---|
| Item number | One per product; old numbers mapped to it |
| Name | Readable by a buyer, not an abbreviation |
| Units and pack | Stocking unit, selling unit, pack size and conversions are exact |
| Catch weight | Set on every variable-weight item |
| Case weight and dimensions | Filled in, in one unit of measure |
| GTIN | The supplier's GTIN where one exists |
| Allergens and storage | Filled in, from the supplier's spec |
| Category | A clear label, not a raw code |
| Vendor and cost | Current primary vendor and cost |
| Status | Active items sell; dead items are inactive |
Item master cleanup
fixes the operating record: item numbers, units, pack sizes, catch weight, case weights, cost and status. It's what orders, picks and invoices run on.
Product data cleanup
makes the same items sellable online: names, descriptions, images, allergens, storage and categories (product data cleanup).
A PIM
(product information management system) is software for managing product content across channels. It doesn't fix a wrong pack size in the ERP.
Most distributors need the first two together, because the online store, AI order entry and the warehouse all read the same item.
Before you change ERPs.
A migration touches every item anyway, so it's the natural moment to clean (data migration checklist).
Before you launch an online store.
Customers search the way they talk; all-caps abbreviations send them back to the phone.
Before AI or robotics.
AI and robots can only act on data they can trust, and the item master is where that starts (data for AI and robotics).
Before FSMA 204 applies to you.
FDA won't enforce FSMA 204 before July 20, 2028, but lot data hangs off clean items, and it takes time to get right (FSMA 204).
Foodline AI's data team cleans your item master as part of every Foodline AI implementation: the data assessment, product data cleanup, data migration and setup, and the AI-readiness review. Ongoing product data management is included after go-live. Distributors on any other ERP can hire us for item master and product data cleanup as a standalone service, without switching systems. The data review is free, and unusually heavy cleanup is scoped before work begins. See food distribution data consulting and why data cleaning matters.
Book a free data review: send an item export and we'll show you what needs fixing.
Fixing the ERP's record of each product: merging duplicate items under one item number, correcting units and pack sizes, setting up catch weight on variable-weight items, filling in case weights, GTINs, allergens and storage, rewriting names for buyers, and retiring dead items. Then required fields keep new items clean.
Name one owner, export every item to one sheet, retire dead items, merge duplicates, fix units and pack sizes, set up catch weight, add case weights, GTINs, allergens and storage, rewrite names and clean categories. Finish with required fields on new items and a weekly exception list.
Item number, name, stocking and selling units, pack size and conversions, case weight and dimensions, catch-weight setting, the supplier's GTIN where one exists, category, allergens, storage, primary vendor, cost and status.
Pick one surviving item number per product and map the old numbers to it, so order history, order guides and prices follow the surviving item. Check open orders and contracts before you retire the old numbers.
Item master cleanup fixes the operating record that orders, picks and invoices run on: units, pack sizes, catch weight, case weights and cost. Product data cleanup makes the same items sellable online: names, descriptions, images, allergens, storage and categories. Most distributors need both.
Before changing ERPs, before launching an online store, and before adding AI or robotics, because all of them read the item master. A migration touches every item anyway, so it is the natural moment.
Yes. Item master and product data cleanup are included in every Foodline AI implementation, and distributors on any other ERP can hire Foodline AI's data team for it as a standalone service. The data review is free, and unusually heavy cleanup is scoped before work begins.
Thirty minutes. We load a slice of your catalogue and show you the routines firing against your real order history, not a canned demo.
Book a walkthrough