Tech

Amazon India’s Brands Team Steals Designs and Artificially Increases Their Visibility in Search Results

Hot potatoes: Companies around the world spend countless hours and dollars designing, developing, manufacturing and marketing their product lines. Finding a fair and reliable platform to reach customers and deliver these products is a key success factor. Unfortunately, a recent investigation has shown that Amazon India may not be the fair market that retailers were hoping for.

Reuters Investigates team reviewed thousands of Amazon India internal documents and disclosed a plan to identify successful “benchmark” and “benchmark” products from other retailers, and then use your own data to create your own internal offerings. The project also identified and established relationships with the manufacturers of these products to ensure parity with the original products while controlling production costs.

Other parts of the plan encouraged the manipulation of algorithms and data on Amazon India’s website to make its products appear more frequently in search results. A 2016 strategy report revealed that an Indian private-label team tampered with the system so that the first two to three search results returned home-made products.

According to Nate Sutton, Amazon Deputy General Counsel in 2019. congressional hearingsAmazon’s search algorithms “… are optimized to predict what customers want to buy, regardless of the seller.” However, documents released by Reuters directly contradict this claim, showing that Amazon India is manipulating the results to their advantage.

Former employees accused the company of using two specific methods of manipulation, search and search, to increase the availability of Amazon products. Seeding changes the search ranks, ensuring that the selected product appears in the first few results. The glitters appear directly above the search results in the form of banners, which may not actually be part of the query.

Amazon has faced multiple accusations of using internal customer and partner data to create and promote its own products. In 2013, Amazon was criticized for creation mimic services based on products from existing AWS customers. Then last year, a Wall Street Journal article again reported on the company’s propensity to use third-party data to reinforce their product offers. In the report, former Amazon employees detailed how Amazon used seller information to determine product prices, revenue potential, and whether to enter specific product segments.


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