Case study:
How to Gepard Set Up Hp Data Transformation for Amazon
Challenge
If you have ever tried to sell on Amazon, you definitely experienced the time-consuming process of filling Amazon NIS templates. The fast market penetration, supported by sales-driven product descriptions, is crucial in launching new products. But every retailer and marketplace has its own taxonomy. HP product feeds did not suit the Amazon data model and template structure.
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HOW GEPARD SET UP HP DATA TRANSFORMATION FOR AMAZON

With the wide product line, it took HP team thousands of hours of manual work to adapt HP EMEA product descriptions to Amazon NIS templates. Each product description consisted of 150-300 data fields with A+ content. HP team needed to deliver standardized product data to their authorized distributors.

Download this free copy and learn:

  • The innovative approach Gepard team used to overcome the HP challenge
  • The way it currently works for the HP team
  • The results achieved in cooperation between HP, Amazon, IceCat and Gepard teams
  • The advice for other brands and retailers, who sell on Amazon.