Vendor-to-Internal SKU Cross-Reference Mapper

The problem this kills

Every vendor calls the same item something different. Their part number isn't your SKU. The UPC on the box doesn't match the code in your item master. The PO says one thing, the ASN says another, and the invoice says a third. So someone on your team - receiving, purchasing, a data steward - sits there hand-matching each line, every single time a shipment or document comes in.

It's slow, it's error-prone, and the knowledge lives in one person's head. When they're out, receiving grinds to a halt. When they fat-finger a match, the wrong item gets received and the error ripples downstream for weeks.

You don't need an enterprise PIM or a six-figure integration to fix this. You need one trustworthy translation table - "this vendor's code means this internal SKU" - that everyone can use and that nobody can corrupt.

What you'll build

A small, login-protected web app that becomes your single source of truth for vendor-to-SKU translation:

• Import your item master and any existing alias mappings from a CSV or Google Sheet.
• Load vendor catalogs (their part numbers, UPCs, descriptions) and let the tool suggest matches to your internal SKUs using exact UPC matching plus fuzzy description matching.
• Review and approve each suggested mapping - a data steward gives the thumbs-up before anything joins the official cross-reference table.
• Look up any vendor code, UPC, or legacy code on a fast search screen and instantly get the internal SKU.
• Export the whole cross-reference table as a clean CSV in exactly the columns your other systems expect.

What's inside the Implementation Plan

• It starts by interviewing you about your business. Before it writes a line of code, the plan makes the AI agent ask about your real data - your SKU format, how your vendors number their parts, whether you track UPCs, your typical and peak document volumes, and your messiest edge cases. Then it tailors the data model and matching rules to you. This is not a generic template you have to bend to fit.
• A step-by-step build, each step ending with a ready-to-paste prompt for your AI coding agent.
• A data model designed for the real world: one internal SKU can have many vendor aliases, with guards that prevent conflicting many-to-one mistakes and dedupe on (vendor + vendor part number).
• UPC-exact and fuzzy-description match suggestions, with a confidence indicator so the steward knows what to trust.
• A "No API yet?" fallback so you can build and use the whole tool today, straight from a spreadsheet, with no integration to your ERP required.

The governance it includes (this is the point)

This is what separates a real internal tool from a risky spreadsheet:

• Login so only your team can use it.
• Row-level security so each organization only ever sees its own data.
• A complete audit trail - who proposed a mapping, who approved it, and exactly when.
• A human-in-the-loop approval gate - the AI only ever suggests a mapping; a data steward reviews and approves before it's committed to the official cross-reference table that other tools rely on.
• Duplicate guards so the same vendor part can't be mapped twice or create a conflicting many-to-one match.

Who it's for

Receiving teams who are tired of hand-matching every PO, ASN, and invoice line. Purchasing and procurement staff juggling multiple vendor numbering schemes. And data stewards who own item-master quality and need a controlled, auditable way to grow the translation table without letting bad mappings in.

No coding background required. If you can describe how your business works and paste a prompt, you can build this.

You've got this - paste the first prompt and let the agent interview you.