How Amazon uses AI

Amazon's vice president of transportation says in September 2026 that Amazon is investing in AI based routing technology for the drivers of its Delivery Service Partner network. She says the routing adjusts for real world conditions, such as reduced visibility after sunset or the extra time a downtown delivery needs to find parking at lunchtime, and that driver navigation now adjusts routes automatically in bad weather or when hazards are detected.

A September 2025 post from the same executive says Amazon uses AI for delivery quality and safety through routing technology that analyzes traffic patterns and road conditions to design safer routes. Neither post gives a mileage, time or cost result for the routing, says how many routes it covers, or describes the models.

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 behavior. 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.

AWS security engineers built RuleForge, a set of specialized agents that ingest and prioritize newly disclosed vulnerabilities, generate a detection rule from example exploit code, score each rule with a separate judge model for sensitivity and specificity, test it in stages and return failures to the generation agent with feedback. A human reviews and approves every rule before deployment. Amazon reports that over the last four months of the year the team produced and validated rules 336% faster than by hand, and that the judge model cut false positives by 67%.

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.

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.

Amazon and UVeye built an Automated Vehicle Inspection archway that delivery drivers pass through at the end of each workday, replacing manual driver vehicle inspection reports for vans operated by Delivery Service Partners in the US, Canada, Germany and the UK. The scan takes seconds, sorts issues by severity and shows photos and repair suggestions in Amazon's Fleet Portal. UVeye reports 96% defect detection against 24% for manual inspection.