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Enrich a catalogue without hiring an offshore team
Use case

Enrich a catalogue without hiring an offshore team

Stop scaling enrichment by adding people. Automate the research, extraction and writing, and keep your team on review and approval.

Try it on your own data
Enrich a catalogue without hiring an offshore team

Manual enrichment, in-house or offshore, scales by adding people. SKULaunch scales by doing the research, extraction and writing automatically, so a small team approves finished work instead of a large team producing it line by line.

The problem

The usual answer to a growing enrichment backlog is more hands: temporary staff, an offshore team, an agency. It works for a while, then quality varies, briefs need rewriting, checking takes as long as doing, and costs rise with every extra SKU. The model ties output directly to headcount.

Before and after

An illustrative example of a 20,000 SKU backlog.

Before: the outsourcing plan

Brief an offshore team of six. Estimated 10 minutes per SKU, 3,300 hours, five months. Internal QA on a 10 per cent sample.

After: in SKULaunch

  • Attributes filled from datasheets, manufacturer pages and images automatically
  • Copy written from verified attributes
  • Internal team reviews and approves by category
  • Backlog cleared in weeks, not months

How it works in SKULaunch

  1. Set the standard once. Categories, attributes and content rules replace written briefs.
  2. Automate the volume work. AI Tools source and extract values; content generation writes copy.
  3. Keep people on judgement. Your team reviews, corrects and approves.
  4. Repeat for every new range. The same set-up handles new suppliers without re-briefing.

Where people still add value

Automation does not remove people; it moves them. The value of a product data team is knowing the products: spotting the wrong spec, judging the right category, setting the standard. Automating sourcing and typing frees that knowledge for review and decisions, which is where accuracy actually comes from.

What changes

Output stops depending on headcount, and the team you have spends time on the work only they can do.

Common questions

Does this replace our data team?

No. It changes their job from producing data to checking and approving it.

What if we want a managed service too?

Start with Data, SKULaunch's sister consultancy, offers managed enrichment on the same platform.

How fast can a backlog be cleared?

It depends on sources and review time. Mole Valley Farmers enriched 35,000 SKUs in three weeks.

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