Ask ten people at a mid-size distributor who owns the product data and you'll get eleven answers, most of them "not me." IT assumes it's marketing's job. Marketing assumes it's whoever entered it in the ERP originally. That person left three years ago and nobody replaced the job — just the paycheck. What's left is a catalog quietly rotting from the inside: missing prices here, a placeholder photo there, a SKU nobody can order because the EAN field has been blank since an ERP migration nobody remembers the reason for. Nobody built this mess on purpose. That's the problem. It doesn't take intent to break a catalog — it just takes nobody being responsible for keeping it whole.
The number that should stop you: Bluemeteor's 2025 research found 60% of distributors report inconsistent product data across their catalog, with manual entry responsible for up to 30% of the errors. Inaccurate supplier data drove 63% wasted staff time and real financial loss at 40% of companies surveyed. Discount that some — it's a vendor-funded study, and vendors have a favorite conclusion. But 70% of distributors independently admit they can't keep their own catalog accurate, and that one doesn't need anyone's blessing to be believable.
What's actually breaking
Nobody sits down and decides to wreck a catalog. It happens one keystroke at a time — a SKU entered by whoever was free that week, a price updated in one system and not the other, a photo placeholder that goes live and stays live because noticing it isn't anyone's job. Multiply that by thousands of SKUs and however many years the ERP has been running, and you don't get a few typos. You get a catalog where no single row can be trusted without checking it.
Why this is an operating tax, not a hygiene problem
Call it "data hygiene" and it sounds optional, like flossing. It isn't. A missing price means that SKU can't transact — invisible revenue, sitting right there, unsellable because a field is blank. A missing photo means the buyer scrolls to a competitor's listing that has one. A product hidden because the EAN or description never got filled in might as well not exist. None of this fails dramatically. It fails a thousand small times, compounding into fulfillment delays and wasted procurement hours that nobody assigned a line item to, because nobody assigned an owner to what caused it.
How it actually gets solved
The instinct is a one-time cleanup — hire someone for a quarter, fix everything, declare victory. It doesn't hold. New SKUs launch weekly; the catalog cleaned in March is dirty again by June. What works is making the problem visible on an ongoing basis, to people who can actually fix it, filtered by what matters — a distributor with 40,000 SKUs doesn't need a list of every flaw, they need to know which dozen are costing them money this month.
Where RocketX fits
RocketX doesn't touch your ERP. It doesn't clean it, organize it, or quietly rewrite your data behind your back — if your source data is bad, RocketX's own performance shows it, same as everything else pulling from that ERP. What it does is watch: a built-in data quality monitor flags missing prices, missing photos, and SKUs hidden from the storefront because an EAN or description was never filled in. That flag doesn't vanish into an admin dashboard nobody opens — it surfaces to whoever's using the app, so a warehouse worker who spots a missing photo can flag it straight to whoever in marketing owns that field. No ticket required. And because flags filter by revenue priority, the fix goes to the SKUs actually costing money first, not alphabetically. Fix the ERP once, and the improvement isn't RocketX's alone — every other system reading from that source inherits it too. Self-healing, if you like the term. We'd just call it not pretending we can quietly fix your data for you.
The honest caveat
Worth being precise about what this isn't. RocketX also does AI-powered catalog ingestion — a separate feature that scans a print catalog and makes the products on those pages directly orderable. It doesn't read that data or use it to fix anything else; it just turns a page into a button. Different tool, different problem. The data quality monitor watches your numbers, not your pages, and it still can't do the fixing for you. It can only remove the excuse of not knowing.
No surprises, just certainty — even when the certainty is "this is still your job, but now you know exactly which part to do first."
