Seller Catalog Onboarding:
99% Accuracy in Product SKU Mapping

“Everyone wants to know what Versori is and how they can use it because you're doing what takes us years in weeks.”

Project Outcomes

Faster Seller Onboarding

Eliminating Manual Mapping

Improved Listing Data Quality

4,000 merchants onboarded

99% Mapping accuracy

70% Timeline Reduction

timelines reduced from 80+ days

4,000 merchants onboarded

70% Timeline Reduction

4.000 merchants onboarded

timelines reduced from 80+ days

70% Timeline Reduction

The Challenges

Just 20% of SKUs are accepted first time & 70% of merchants dropped during onboarding.

Walmart needed to scale their marketplace faster by developing a smoother merchant onboarding process.

Mapping product data to Walmart's 10K+ field taxonomy took months for large catalogues. Merchant's decisions as to which catalogue or type a SKU belonged to created errors.

70% of merchants were abandoning the onboarding process due to difficulties mapping their data to the retailer's taxonomy.

The retailer's in-house tech team had been working on the project for over a year, but due to competing priorities, it was still overdue.

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Complex Requirements

Merchants struggled to understand which categories, attributes, and product types applied to their catalogues. This made onboarding slow, inconsistent, and difficult to scale.

Low Accuracy

Most listings failed automated checks due to incorrect category selection or missing attributes resulting in only around 20% of SKUs aligning correctly.