How Amazon uses AI

Since the end of 2023 Amazon lets independent sellers create a product listing from a few words or a single image, and since March 2024 also from the URL of their own web page: generative AI on Amazon Bedrock drafts the title, bullet points, description and attributes, and the seller submits the draft, with Amazon encouraging a review first. Bulk creation from a spreadsheet followed, and Enhance My Listing, which Amazon said in May 2025 had begun rolling out in the US, suggests updates to existing listings based on shopping behaviour. In May 2025 Amazon reported that sellers accept the AI generated content with little to no edits about 90% of the time. The same post describes Amazon using generative AI to personalize product recommendation categories and product descriptions shown to customers on the website and in the shopping app, based on a customer's shopping activity; no outcome number is given for that side of the work.

• Users served: at least 900,000, selling partners who have used the listing tools, by May 2025

  "Now, more than 900,000 Amazon selling partners have embraced these tools, with sellers accepting AI-generated content with little to no edits approximately 90% of the time."

  Claimed by: organization
• Quality score uplift: 40%, overall listing quality of listings created with the tools, reported by May 2025

  "When sellers use our Gen AI tools to create listings, they see a 40% increase in overall listing quality, helping them create content that enhances customer engagement and boosts sales potential."

  Claimed by: organization

Amazon integrated the Java transformation capability of Amazon Q Developer into its internal systems and migrated tens of thousands of production applications from Java 8 or 11 to Java 17 with its assistance. AWS describes the product's transformation agents as analyzing source code, generating new code, testing it and executing the change once the customer approves; the sources do not describe how Amazon's own developers reviewed each upgrade. Amazon estimates more than 4,500 years of development work saved compared with manual upgrades, and annual savings from hosts it could remove after the faster Java 17 runtime. AWS has since extended the approach to .NET, VMware and mainframe workloads.

• Cost savings: USD 260 million, per year, estimated from hosts removed after the Java 17 upgrade

  "This effort saved more than 4,500 years of development work, compared to what it would have taken previously, and realized performance improvements of $260 million in annual cost savings."

  Claimed by: organization

Amazon launched Rufus in 2024 as a generative AI shopping assistant in its app, trained on the product catalog, customer reviews, community questions and answers and information from the web, to answer product questions, compare items and recommend products for an occasion or need. In 2026 it combined Rufus and Alexa+ into Alexa for Shopping, an agentic assistant that adds price history, price alerts and automated buying. Amazon reports over 350 million customers in twelve months, and says US customers who use Alexa for Shopping spend on average over 40% more per order than those who do not, a comparison between self selected groups rather than a controlled test.

• Users served: at least 350 million, the 12 months to Q2 2026

  "Over 350 million customers have used it in the last 12 months, and engagement accelerated in Q2, with active users nearly doubling, and interactions up over 5x year-over-year."

  Claimed by: organization