Each guide takes one thing that goes wrong in supplier product data and shows the fix: the same values before and after, and a link to the source of every figure.
What product data enrichment covers, where missing values come from and how to check the result, starting from the spreadsheet a supplier actually sends.
Supplier data onboarding without the template chase: take each file as it arrives, map its columns once, then clean, enrich and export it ready to import.
Why product filters show duplicate options, and how to normalise product attribute values: one word per value, one unit per field, and no N/A.
Product categorisation for retailers: map supplier categories onto your own tree, keep parts apart from products, and turn corrections into rules.
Google Shopping image requirements rise to 500 by 500 pixels on 31 January 2027: what changes, what Google fixes itself, and how to audit supplier images.
Product data for AI shopping: what ChatGPT’s feed and Google’s AI Mode read, where supplier rows fall short, and how to fix them before writing copy.
Send one supplier spreadsheet exactly as it arrived. We will show you the same products before and after, with a source on every value we add.
One email with the upload link. Nothing else lands in your inbox.