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Retailers Adapt as AI Shopping Agents Transform Consumer Purchasing

May 16, 2025•Zak Stambor•Original Link•2 minutes
AI
Ecommerce
Retail

Major retailers and tech companies are testing AI agents that automate shopping tasks, requiring businesses to rethink marketing strategies for both bots and humans.

The Trend: Retailers and tech giants are increasingly experimenting with AI agents capable of acting on behalf of consumers. These agents automate tasks like product discovery, price comparisons, replenishment, and even purchases.

Key Developments:

  • eBay has introduced a shopping assistant that provides real-time, personalized product recommendations based on user input or browsing behavior.
  • Amazon is testing Buy for Me, an AI agent that purchases out-of-stock items from third-party sites, handling payment and shipping seamlessly.
  • Perplexity, in partnership with PayPal, will soon allow US consumers to make purchases, book travel, and more directly within its interface. Shoppers can ask Perplexity to find products and complete transactions using PayPal or Venmo without manual inputs. Learn more about Perplexity's interface.
  • Walmart is developing AI agents for its app and site that can reorder groceries or build shopping baskets based on simple prompts, such as "plan a unicorn-themed party for my daughter," according to US CTO Hari Vasudev.

Strategic Shifts:

Retailers like Walmart are preparing for a future where third-party AI agents interact directly with their platforms. This shift could force retailers to redesign ecommerce systems to accommodate AI-driven interactions.

  • A YouGov survey found that 64% of US adults wouldn’t trust AI assistants with shopping, travel, or reservations.
  • Despite skepticism, 43% of retailers are already testing AI agents, and 75% expect them to be critical to competitiveness by 2026, per Salesforce’s Connected Shoppers report.

Implications for Ecommerce:

Agentic AI introduces several challenges for retailers:

  • Price Pressure: Autonomous agents can instantly find the lowest prices or capitalize on limited-time offers, squeezing margins.
  • Discovery Disruption: As agents take over product research, traditional search formats and organic visibility may become less relevant.
  • Ad Performance Risk: With fewer human shoppers browsing, retail media and search ad traffic could decline, increasing competition for premium placements.
  • Content Overhaul: Standard product detail pages may lose influence if AI drives decisions, requiring retailers to rethink how they present product content.

Our Take:

While agentic AI is still in its early stages, its rapid adoption—especially among younger consumers—is likely. Retailers should start testing and iterating now to stay ahead of this emerging trend. For deeper insights, read our report AI Agents and the Consumer Journey.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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