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Amazon’s ‘Buy For Me’ AI Scrapes Retailers’ Data, Sparking Backlash from Small Businesses

Amazon’s AI feature “Buy For Me” faces backlash from small retailers over unauthorized data scraping, risking reputations and market share as it expands e-commerce dominance.

Amazon.com Inc.’s latest initiative, an AI-driven feature called “Buy For Me,” has sparked significant unrest among small retailers since its quiet launch in April 2025. Designed to enhance the shopping experience by sourcing products from outside its own inventory, this tool has led to accusations from small business owners who claim Amazon is scraping their websites and listing their products without consent, effectively integrating them into its expansive ecosystem without permission.

The “Buy For Me” feature, which has also been referred to as “Shop Other Stores Directly,” enables Amazon’s AI agents to search the internet for products that are unavailable on its platform. When a user seeks an item, the system retrieves data from various external sites, displaying it alongside Amazon’s own offerings. While the intention is to provide users with a comprehensive shopping experience, retailers argue that this practice undermines their control over their brands and introduces errors in product listings, such as outdated stock information and incorrect pricing. One retailer described the situation as akin to having their storefront hijacked by a giant that doesn’t even ask for the keys.

The backlash against Amazon’s new feature highlights ongoing tensions in the retail sector, where the company’s dominant market position often overshadows smaller players. Many small business owners, who intentionally avoid selling through Amazon to maintain their brand identity and profit margins, now find themselves involuntarily integrated into the platform. This integration raises additional fulfillment challenges, as Amazon may promise delivery timelines that the original sellers cannot meet.

Industry analysts note that Amazon’s strategy extends beyond mere consumer convenience: it appears to be a calculated move to capture a larger share of the e-commerce market. By listing products from external sources, Amazon aims to position itself as the ultimate aggregator, potentially siphoning traffic and sales from independent websites. However, this approach raises ethical questions regarding data scraping and consent in the digital age.

Small retailers have been vocal in expressing their frustrations. Some have reported instances where Amazon displays out-of-stock items, leading to customer dissatisfaction that tarnishes their reputations. Additionally, concerns arise over pricing discrepancies, where Amazon’s AI might undercut their prices or fail to account for promotional offers, eroding trust with their customer base. As one business owner noted, this situation feels like a violation of intellectual property, with actions that could force them into unwanted associations with Amazon’s business model.

Posts on social media platforms, particularly X (formerly Twitter), highlight a growing sentiment of exploitation among retailers who feel increasingly pressured by Amazon’s fees and data advantages. This discontent is exacerbated by the fact that many retailers are already struggling to survive against the backdrop of e-commerce consolidation.

The implications of this controversy extend far beyond individual grievances. Amazon’s practices raise critical questions about ethics in retail and the role of AI in shaping market dynamics. Failing to obtain consent before scraping data could lead to regulatory scrutiny, especially in regions with stringent data protection laws, such as Europe. Small businesses, crucial contributors to local economies, are pushing for opt-in requirements to ensure that consent is a foundational aspect of AI applications in commerce.

Amazon has defended the “Buy For Me” feature by highlighting an opt-out process for retailers. However, critics argue that this places the burden on small businesses to discover and react to the situation rather than requiring upfront permission. In statements from CNBC, Amazon maintained that the tool is intended to enhance the user experience by broadening product options, yet it has not directly addressed the consent issue.

While Amazon positions this feature as a necessary evolution to remain competitive amid rising challenges, the increased visibility of complaints suggests that the company may need to reconsider its approach. Retail experts speculate that Amazon could benefit from implementing more transparent mechanisms, such as partnerships or revenue-sharing models, in order to alleviate some of the backlash.

Real-world case studies underscore the impact of the “Buy For Me” feature on small businesses. A boutique clothing retailer reported shock upon discovering that its niche products were listed on Amazon with incorrect sizes and availability, resulting in negative customer reviews that harmed its sales. Similarly, a specialty goods seller noted that outdated images pulled by Amazon created confusion among customers, detracting from brand integrity. Such scenarios illustrate how a tool intended to streamline shopping can complicate operations for smaller retailers.

As concerns mount, many are looking to regulators for potential intervention. In the United States, Amazon has long faced antitrust scrutiny, and this feature could amplify investigations into monopolistic practices. The economic ramifications are significant; small retailers who contribute to local economies may struggle further under such practices, leading to decreased innovation and diversity in product offerings.

Looking ahead, Amazon’s persistence with the “Buy For Me” feature signifies a strategic bet on AI as the future of retail. However, the controversy could necessitate internal adjustments. Reports indicate that the backlash may expose vulnerabilities in Amazon’s scraping practices, potentially leading to lawsuits or policy changes. For small retailers, the path forward may involve adopting anti-scraping technologies or pursuing direct-to-consumer strategies to regain control. As the retail landscape evolves, the balance between innovation and respect for independent businesses remains a critical issue that will shape the future of e-commerce.

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The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

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