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Concerned about fraud and fake products being sold on your behalf or through your e-commerce channels?

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With the inundation of counterfeit products being sold through online retailers, more than 25 percent of consumers shopping for luxury goods have accidentally purchased a counterfeit item. Not only does this increase the amount of returned products, but consumers also lose trust in the manufacturer’s brand and the online marketplace from which they purchased them.

Using machine learning automation and computer vision implementation, one leading watch manufacturer was able to detect counterfeit products sold through various marketplaces. 

If you want to learn how to reduce time spent and improve accuracy of quality assurance, machine learning and artificial intelligence are key.

Download the case study to learn:

  • How machine learning helped detect counterfeit products
  • How metadata is used with machine learning automation
  • How fraud detection increased sales
  • And more!

To download the case study, fill out the form on this page.