Amazon’s Rufus AI Reaches 300M Users with 60% Higher Purchase Rates
Amazon’s upgraded Rufus shopping assistant reached 300 million users in 2025, driving a 60% higher purchase completion rate among early adopters. Scheduled actions for automated recurring orders and gift selection are now available to all U.S. customers, though recommendation accuracy remains inconsistent.
1. User Adoption and Purchase Impact
By the end of 2025, approximately 300 million customers engaged with Rufus, with active users showing a 60% higher likelihood of completing purchases compared to non-users. This accelerated conversion rate underscores Amazon’s effort to drive incremental revenue through AI-driven shopping assistance.
2. Scheduled Actions Feature Rollout
The latest update enables Scheduled Actions for all U.S. customers, allowing users to automate recurring purchases like household essentials and schedule gift orders based on past buying patterns. This move positions Rufus as a proactive agent in managing customer shopping cycles.
3. Recommendation Accuracy Challenges
Early interactions have highlighted inconsistent product suggestions, reflecting the complexity of translating vast consumer data into precise recommendations. Amazon continues to refine algorithms to improve reliability and user trust before enabling fully autonomous transactions.
4. Competitive Landscape and Data Strategy
Rivals from OpenAI-linked projects to Walmart’s internal AI tests are pursuing similar agent-driven models, intensifying competitive pressure. Amazon’s restriction of third-party AI agents and focus on first-party data aim to safeguard customer information but may invite interoperability and regulatory scrutiny over time.