AI shines in Prime Day: conversion rate increases by 40%, accelerating the reconstruction of e-commerce shopping paths.

Event Overview

During Prime Day 2026 (June 23–26), the role of artificial intelligence in e-commerce shopping underwent a fundamental shift. Adobe data shows that consumers using AI chatbots and browsers had a purchase conversion rate 40% higher than those using non-AI channels such as paid search and email, reversing the 23% lower AI conversion rate seen during last year’s Prime Day. Although the traffic share from AI remains relatively small, its accelerating effect on purchase decisions can no longer be ignored.

Market Background

The global e-commerce market continues to grow, with consumers increasingly demanding shopping convenience and personalization. After more than a year of development, AI technology has moved from the experimental stage to practical application. In the first five months of 2026, AI traffic to U.S. retail websites grew 235% year-over-year; during Prime Day, AI traffic was up 89% year-over-year. Total online sales during Prime Day reached $26.4 billion, up 9.3% year-over-year, approaching the $32.45 billion level of the 2025 holiday season (from Thanksgiving to Cyber Monday).

Platform and Brand Impact

• Platforms: E-commerce platforms such as Amazon face dual challenges from AI. On one hand, AI helps consumers quickly find products, improving the experience; on the other hand, platforms need to ensure their website content is correctly readable by AI. Adobe noted that up to 46% of content on some retailer websites is machine-unreadable, limiting AI visibility.
• Brands & Sellers: Brands need to invest in AI-friendly content, such as tutorials, guides, and customer service pages, to improve exposure in AI searches. Omar Qari, CEO of supply chain platform Logicbroker, emphasized that retailers' real-time data infrastructure (managing inventory, suppliers, orders, and fulfillment) not only supports Prime Day operations but also determines the credibility and discoverability of products in AI-driven e-commerce.
• Consumers: AI shortens the time consumers spend obtaining information, enabling faster purchase decisions. Buy Now, Pay Later (BNPL) usage rose 9.5%, accounting for 6.6% of order volume, with a total value of $2.1 billion.

Consumer Trend Analysis

• Shopping Habits: Consumers are more inclined to use AI for product searches and price comparisons, with an intensified pursuit of speed and convenience.
• Purchase Categories: Compared to the June daily average, electronics sales increased by 120%, home appliances by 90%, tools and home improvement by 70%, home and garden by 65%, and furniture and bedding by 55%.
• Payment Methods: The penetration rate of BNPL continues to rise, reflecting consumers' demand for flexible payment options.

Regional Market Impact

This analysis is primarily based on the U.S. market.This analysis is primarily based on the US market. Prime Day, as a global promotion initiated by Amazon, has the greatest impact on the North American market, but consumer behavior in other global markets (Europe, Asia, etc.) is gradually following suit. AI-driven shopping trends are expected to first become widespread in highly digitized regions. The Asia-Pacific region, with its active mobile commerce and AI applications, could become the next growth point.

Future Trends

• AI will rapidly become a standard feature of e-commerce, but retailers need to address the readability of website content, otherwise they will lose traffic in AI searches.
• Brands need to establish an "AI trust" system: not only strive to be recommended by AI, but also win long-term recommendations through stable fulfillment and transparent information.
• The sales of major promotions like Prime Day are approaching those of the holiday season, and the trend of "normalization of promotions" in e-commerce is evident.
• Buy now, pay later, personalized recommendations, and other auxiliary technologies will further integrate with AI, shortening the path from browsing to purchase.