If you run an e-commerce store on Shopify, you've probably hit this: you export your sales data, open the CSV, and half the rows have nested blank cells or broken structures. The file is technically valid but practically useless until someone spends time cleaning it up.
One team we talked to was spending about 30 minutes a day on this. Every day. Just reformatting a CSV so they could actually use it. That's over 10 hours a month on copy-paste busywork before any real analysis even starts.
What was actually broken
Shopify's CSV exports nest certain fields in ways that most tools can't parse cleanly. You end up with blank cells where there shouldn't be any, and row structures that don't line up. If you're importing into another tool or building a report, you have to fix all of this by hand first.
It's not a complicated problem, but it's a tedious one. And tedious problems that happen daily add up fast.
What Superworker does now
We added automatic cleanup for Shopify CSV exports. You upload the messy file, Superworker fixes the nested blanks and broken structures, and you get a clean CSV back in seconds.
That's it. No configuration, no mapping step. Upload, clean, download.
What changed for that team
They stopped spending 30 minutes a day on data cleanup. The file goes through Superworker and comes out ready for whatever they need, whether that's sales analysis, weekly reporting, or updating inventory counts.
We keep thinking about how boring this problem is, and that's sort of the point. Nobody should be manually fixing CSV formatting every morning. It's the kind of task that feels small until you realize you've lost a full workday to it every month.