Amazon extends its generative AI-powered product listings to sellers in France, Germany, Italy, Spain, and the U.K. The tools generate descriptions, titles, and details, speeding up the listing process. Over 30,000 sellers now use these tools.
Amazon has announced that its generative AI-powered product listing tools are now available to sellers in France, Germany, Italy, Spain, and the U.K. This comes nine months after Amazon first revealed plans to introduce AI technology to its sellers. The tools help sellers by generating product descriptions, titles, and associated details, making the listing process faster and more efficient. Earlier this month, the tools quietly launched in the U.K., and now, more than 30,000 sellers in these European markets are using the AI-enabled tools.
Sellers can access these tools on their "List Your Products" page by entering relevant keywords or uploading a product image. The AI generates a product title, bullet points, and a description, which sellers can edit as needed. Amazon advises sellers to review the AI-generated content thoroughly before posting, acknowledging that large language models can sometimes produce inaccuracies. "Our generative AI tools are constantly learning and evolving," Amazon stated, highlighting ongoing improvements to the tools' capabilities.
These AI tools are designed to "enrich" existing product listings by automatically adding missing information. This feature can save sellers significant time and effort, allowing them to focus on other aspects of their business. Earlier this year, Amazon introduced a tool in the U.S. that allows sellers to generate product listings by posting a URL to their existing website. However, it remains unclear when or if this functionality will be extended to Europe or other markets.
Bringing AI to European markets raises potential regulatory issues, particularly with GDPR and the Digital Services Act. Amazon's use of merchant data has been scrutinized before, leading to regulatory actions and lawsuits. The company’s generative AI models are trained on diverse data sources, but specific details remain unclear. Robert Tekiela, Amazon’s VP of Selection and Catalog Systems, stated, "Our models learn to infer product information through diverse sources, latent knowledge, and logical reasoning." This AI-driven approach aims to improve product knowledge at an unprecedented scale and quality.
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