Automate general marketplace catalog cleanup and category accuracy

No. Sellers can keep exporting files exactly the way they do today, CSV, Excel, XML, or even an ageing FTP feed with quirky column names. During onboarding you map each seller’s headers to a master template once; after that the system recognises and cleans every fresh upload automatically. That means you avoid the policing game of “please add this column” or “fix your header line” emails that waste days. Your merchant-support agents simply drag and drop the feed, review a colour-coded dashboard that highlights any true show-stoppers, and approve in minutes rather than sending long instruction PDFs back and forth.

Marketplaces using the service report that the volume of catalog-related tickets, wrong category, missing photo, filter not working, drops by roughly two-thirds within the first big sale period. Because the engine checks listings before they go live, problems that would normally trigger shopper complaints or seller disputes are fixed upstream. Merchant-support agents spend less time firefighting and more time recruiting new sellers or launching promotional events. The knock-on effect is lower overtime costs, happier staff, and faster seller satisfaction scores, which in turn feed back into positive marketplace reviews and repeat sellers.

Each incoming product is scanned against a rules library that covers everything from local hazardous-goods lists to brand-protection watchwords. If a knife appears in the “toys” category, or a counterfeit keyword pops up in a title, that listing is quarantined instantly. Sellers receive a clear message explaining why the item was blocked and what documentation, age-verification tag, authenticity proof, safety certificate, they must supply. Because problem SKUs are stopped before they reach the storefront, compliance fines and PR headaches are dramatically reduced, and your trust score with payment providers goes up.

Yes. During enrichment the engine converts units (inches to centimetres, pounds to kilos), localises size names, and adds translated attribute labels so global shoppers can filter in their own language and unit system. It also understands region-specific category nuances: what’s “small appliances” in the UK may need a different node in Southeast Asia. That localisation happens automatically, so you don’t have to run separate catalog projects per country. The result is a single, tidy database that fuels multiple regional sites, each with filters, search terms, and compliance notes tailored to local expectations.

The processing engine is built to burst-scale in the cloud, spinning up extra workers the moment your incoming queue surges. A test with a ten-million-SKU dump processed in about the same wall-clock time as a normal weekday feed, thanks to parallel classification and enrichment nodes. Throughout the run you see live progress bars and estimated finish times, so merchandising and marketing teams can plan banner slots and ad campaigns confidently. Once the surge passes, unused compute resources wind down automatically, meaning you don’t pay for peak-season horsepower all year long.