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Retailers use AI shopping traffic but struggle to retain customer data

Shoppers are expected to spend $8 billion this year through AI-driven recommendations. Adobe Analytics reported 41% of US consumers used generative AI for online shopping in June.

Published 7 August 2026 · ID 2026-08-07-retailers-use-ai-shopping-traffic-but-struggle-to-retain-customer-data

Retailers are increasingly leveraging AI platforms like ChatGPT and Google's Gemini to attract shoppers, but they face challenges in retaining customer data. As AI agents such as Anthropic's Claude and Gemini direct users to retail sites, companies are competing to appear in chatbot results while safeguarding the data that fuels online sales. This shift in consumer behavior has created a new battleground for retailers, who must balance visibility on AI platforms with the need to maintain direct relationships with customers.

The rise of AI-driven shopping has prompted retailers to adopt new strategies. For example, when a shopper completes a purchase on a brand's own site, the retailer maintains a direct relationship with that customer, according to Vince Koh, global head of digital commerce at Amazon Web Services. AWS is encouraging retailers to use its tools to capture and analyze customer data, which can be used to personalize experiences and improve conversion rates. However, the reliance on AI platforms for traffic introduces new complexities in data ownership and control.

Adobe Analytics reported that 41% of US consumers used generative AI for online shopping in June, and visitors referred by AI services generated 41% higher revenue per visit than those arriving through traditional channels. This data highlights the growing influence of AI in shaping consumer behavior and driving sales. Retailers are investing heavily in AI tools to optimize their online presence, but the challenge remains in ensuring that customer data remains under their control rather than being shared with third-party platforms.

The reliance on AI platforms for traffic introduces significant consequences for retailers, including increased costs, potential vendor lock-in, and complex governance issues. Companies must navigate the delicate balance between leveraging AI for marketing and ensuring that customer data remains protected. As AI continues to shape the retail landscape, retailers will need to develop strategies that align with both technological advancements and data privacy requirements.

The integration of AI into retail operations is reshaping the industry, but it also raises important questions about data ownership and long-term sustainability. Retailers must carefully consider the trade-offs between using AI to drive traffic and maintaining control over customer data. As the market evolves, those who can effectively manage these challenges will be better positioned to capitalize on the opportunities presented by AI-driven shopping.

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