Amazon allegedly used its search system and internal seller data to systematically copy competitors' products and manipulate search results to favor its own private-label brands in India, harming third-party sellers financially.
According to a Reuters investigation based on thousands of pages of internal Amazon documents including emails, strategy papers, and business plans, Amazon India ran a systematic campaign from around 2016 to copy competitors' products and manipulate search results to boost its own private-label brands. The company used internal data from Amazon.in to identify 'reference' or 'benchmark' products from successful sellers, then created knockoff versions through brands like AmazonBasics and Solimo. Amazon employees studied proprietary data including customer return rates, sales figures, and product measurements to replicate successful items. The company used techniques called 'search seeding' and 'search sparkles' to ensure Amazon's own products appeared 'in the first 2 or three search results' when customers searched for products. High-level executives including Russell Grandinetti and Diego Piacentini reviewed these strategies. The documents show Amazon targeted specific brands like John Miller shirts, copying measurements down to neck circumference and sleeve length. One seller reported his monthly earnings from Logitech mouse pads dropped from $1,500 after Amazon introduced a competing AmazonBasics product that was 60% cheaper and ranked higher in search results. Amazon denied the allegations, calling them 'factually incorrect and unsubstantiated,' but the practices mirror similar accusations in other countries and are part of ongoing antitrust investigations in India, the US, and Europe.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI-driven concentration of power and resources within certain entities or groups, especially those with access to or ownership of powerful AI systems, leading to inequitable distribution of benefits and increased societal inequality.
AI system
Due to a decision or action made by an AI system
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed