A customer wants 400 products, specific columns and their format, by Friday. SKULaunch exports any filtered set of products to Excel or CSV with exactly the columns you choose, in the background, with no row limit.
The problem
Ad hoc data requests are constant: a trade customer's range review, a buying group submission, a sales team price list. Each means exporting everything, deleting columns, filtering rows and reformatting in Excel. It takes hours, introduces errors and has to be done again next time.
Before and after
An illustrative example of a customer request.
Before: the manual export
Full catalogue export of 52,000 rows and 140 columns. Filter to one brand in Excel. Delete 128 columns. Rename headers. Two hours.
After: in SKULaunch
- Filter to the brand and categories the customer wants
- Choose the 12 columns they asked for, in their order
- Export to Excel in the background
- Save the view for the next time they ask
How it works in SKULaunch
- Filter. Select products by category, supplier, brand, status or any attribute condition.
- Choose columns. Pick and order the columns to include, and save the view as a List.
- Export. Large exports run in the background and notify you when ready.
- Reuse. Rerun the saved view whenever the request repeats.
Turn repeat requests into saved views
Most "one-off" export requests come back. A customer reviews their range quarterly; a buying group wants updates monthly. Save each as a filtered list with its columns, and the next request is a click rather than an afternoon. Pair it with a mapping template if the customer uses their own headers.
What changes
Data requests take minutes, and the same request is answered the same way every time.
Common questions
Which formats can we export?
Excel and CSV, plus channel-specific formats.
Is there a row limit?
No. There is no item limit on downloads.
Can we use the customer's column names?
Yes, with a saved export mapping.
See sending data to trade customers, product data exports, and the imports and exports platform page.
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