How Retailers Can Reduce Manual Work in Product Data Onboarding

Retailers waste countless hours fixing supplier data—cleaning spreadsheets, chasing missing fields, standardizing categories. This slows down launch cycles and burns out merchandising and ops teams.

SKULaunch automates the entire onboarding process using AI—from initial ingestion through to mapping, validation, and enrichment—eliminating tedious manual work.

Typical Challenges

Every File Looks Different

Suppliers send data in inconsistent formats, making standardization a time-consuming, manual process.

Data Cleanup Is Repetitive and Unscalable

Your team spends hours fixing units, formatting names, and adding missing descriptions—again and again.

Manual Work Creates Launch Bottlenecks

The more SKUs you onboard, the more time you spend processing instead of selling.

How SKULaunch solves these challenges

At SKULaunch, we understand exactly what pain points businesses have while onboarding and validating supplier product data. That’s why we developed our AI-powered product data onboarding platform – precisely to address the three key challenges we’ve discussed.

Streamlining supplier file ingestion

We accept data in any format and auto-map fields to your internal structure—zero spreadsheet wrangling.

Enriching data at scale

Our platform fills in missing descriptions, units, and specs using AI and trusted data sources.

Reducing human error and effort

Automated validation catches issues before they hit your PIM—saving hours and improving accuracy.

SKUConcierge offers a fully managed data cleanup service if you want to completely offload the process.

Automating what slows you down

Here’s how SKULaunch automates the repetitive, time-consuming tasks of cleaning and formatting supplier product data:

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Step 1: Upload Supplier Files

  • Suppliers or internal teams submit catalogs directly via portal or API.

  • Live upload dashboard

  • Accepts Excel, CSV, XML, PDF

Step 2: Automate Cleanup and Enrichment

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SKULaunch processes each record and fills in the gaps.

  • Attribute extraction

  • Unit normalization

  • AI-generated product descriptions

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Step 3: Push Clean Data to Systems

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Once validated, SKUs sync to your ecommerce or PIM platforms.

  • Real-time updates
  • Error-free listings
  • No manual rework

Ready to Fix Supplier Data Bottlenecks?

Retailers, distributors, and manufacturers can stop spending valuable time firefighting product data issues and focus on selling more products with confidence, because knowledge their product listings will always be 100% accurate.