Catalog management for US stores.

Catalog problems in the US usually look the same. A supplier sent a spreadsheet with "Blk", "Black" and "BLACK" as three colours. Half the products have no UPC. Weights are in ounces on some rows and pounds on others, so shipping quotes are wrong. This page covers what catalog management means for a US store, and what we do about each of those.

What you get

• Standardised titles and attributes: one colour list, one size format, one capitalisation rule, applied across the catalog.
• Category and type mapping: Shopify product types, Google product categories and, where relevant, Amazon and Walmart category nodes.
• Barcode and SKU checks: UPCs in the barcode field, duplicates found, SKU patterns made consistent.
• Weights and dimensions normalised: one unit per field, so shipping rates calculate correctly.
• Descriptions tidied: broken HTML removed, supplier boilerplate flagged, missing descriptions drafted for your approval.
• Image naming and alt text: files matched to SKUs, with alt text added.
• A change log: every field we touched, before and after.

How it works

1. Send an export and access. A CSV export or a staff or collaborator account. No passwords.
2. We audit and quote. We score the data against your channels' needs and send a fixed price before starting.
3. We clean. The AI engine handles the volume; a person reviews every output and spot-checks against your live listings.
4. You approve. Changes arrive as a file or as drafts, never pushed live without your sign-off.
5. Load and report. We apply the approved changes and hand back the change log.

What is specific to US catalogs

Units and sizes

US stores sell in inches, pounds and ounces, and mixing them is the most common cause of wrong shipping rates. We pick one unit per field, convert the rest, and keep human-readable dimensions in descriptions. Apparel sizes follow US conventions: numeric women's sizing, S to XXL for tops, shoe widths such as M and W kept as options rather than buried in titles.

Channel formats

Amazon.com, Walmart Marketplace, eBay and Google Shopping each want different titles, different category trees and different required fields. A title that works on your site ("Classic Crew Tee") will not pass on Amazon, which expects brand, product type and key attributes in the title. We keep a master record and produce channel versions from it, so a change is made once.

Legal and label text

California's Prop 65 warning, ingredient or material disclosures, and country of origin all live in product data. Many stores hold them in a plugin field or in a photo, which means they disappear when a theme or plugin changes. We pull them into a metafield or consistent description block. We do not decide whether a warning applies to your product; that is yours or your counsel's call.

Sales tax categories

US sales tax varies by product type. Clothing, food, supplements and digital goods can be treated differently by state. We make sure each product carries a sensible tax category so Shopify Tax or your tax service can do its job. Registration and filing remain with you and your accountant.

Spelling and language

US spelling (color, gray, jewelry) is applied throughout. If your supplier data is British or Indian English, we convert it. We also remove the phrases that read oddly to a US shopper, such as "kindly note" and "Rs." leftovers.

Pricing

US catalog cleanup starts at $199 for up to 250 products. If you also need new products listed, bulk product upload starts at $249 for up to 250 products. For ongoing work, Monthly Catalog Ops starts at $349 per month. The fixed quote comes after we inspect your files. See pricing.

Is this a fit?

It suits stores with 200 or more products, supplier data that arrives in different formats, or a catalog that has grown by copy and paste for years. It also helps before a marketplace launch, since channel rejections often trace back to data you cannot see in a spreadsheet.

If you have 30 products you wrote yourself, a spreadsheet and an afternoon will do. Our data quality checklist is enough to find the problems. If your issue is a platform move rather than messy data, see our Shopify migration service for the USA.

Try a free sample of up to 10 products, then ask for a fixed quote at get started.