最新调研数据：36%美国消费者使用AI辅助选购食品杂货

This article presents key findings from a new survey on U.S. consumers' use of AI for grocery shopping, with key takeaways as follows:

1. Core survey data: By the first few months of 2026, 36% of U.S. consumers already use AI tools or large language models to assist with their grocery purchases, reflecting the growing role of AI in everyday retail decision-making.

2. Top use cases: More than 60% of users leverage AI to compare prices and weigh different purchasing options to streamline decision-making; nearly half use AI to look up product information; and more than a quarter already complete their entire grocery purchase directly via AI.

3. Practical tips for consumers: Shoppers can now use AI to get recommendations, compare prices, and research products before placing orders on retailer platforms. This approach improves shopping efficiency and makes it easier to find high-value options.

This article outlines the latest consumer trends in U.S. grocery retail, offering actionable insights for brands to adjust their marketing and strategy. Key takeaways are as follows:

1. New consumer behavior trends: Consumers' product discovery and evaluation journeys have shifted, and no longer rely solely on retailer websites and traditional search engines. More than one-third of consumers now make decisions via AI first before purchasing on retailer platforms, making AI an entirely new product discovery channel.

2. Guidance for brand marketing and visibility: To secure a spot in AI recommendation results, brands must ensure their pricing, promotions, and product information are fully accurate.

3. Guidance for price competition: Since more than 60% of AI users rely on AI for price comparison, AI simplifies decision-making for price-sensitive shoppers. Brands need to optimize their pricing and promotion strategies to maintain an edge in AI-dominated competition.

This article outlines emerging shifts in U.S. grocery retail, clarifying opportunities, risks and actionable directions for sellers operating in this market. Key takeaways are as follows:

1. Market shifts and new opportunities: AI is integrating into everyday shopping faster than expected, expanding from high-consideration categories to everyday groceries and creating an entirely new traffic landscape. Sellers that adapt to AI recommendation rules early can unlock new growth and capture incremental traffic.

2. Risk warning: Sellers that fail to adjust their strategies will struggle to secure AI recommendations as traditional traffic logic changes, leading to plummeting visibility and weaker competitive positioning.

3. Actionable next steps: Sellers need to organize and integrate their product, pricing, and promotion data to ensure it is accurate and complete, aligning with AI crawling and recommendation rules to improve the chance of being featured and drive more traffic.

This new survey on AI-powered shopping offers new insights for digital transformation and business growth for food and grocery manufacturers. Key takeaways are as follows:

1. New requirements for product design and development: As consumers increasingly rely on AI for shopping, they demand higher efficiency and better value. Manufacturers need to distill clear, consistent core selling points and product information in product design and packaging to make it easy for AI tools to crawl and recognize, adapting to the new shopping landscape.

2. Insights for digital transformation: Manufacturers need to accelerate e-commerce-focused digital development and standardize the management of product and pricing data to meet brands' and retailers' new requirements for AI-enabled shopping, unlocking more collaboration opportunities.

3. New business opportunities: AI-enabled everyday shopping is driving overall growth in online grocery retail. Manufacturers can develop AI-aligned products early to capture this new incremental market opportunity and expand their sales channels.

This new survey clarifies industry trends, client pain points and growth directions for retail AI service providers. Key takeaways are as follows:

1. New industry trends: AI is integrating into everyday consumer shopping much faster than expected, expanding from high-consideration big-ticket purchases to everyday groceries, where consumers prioritize convenience and value. Currently, 36% of U.S. consumers already use AI for this purpose, meaning market demand is growing rapidly and the sector offers significant room for expansion.

2. Core client pain points: Both brands and retailers face the same key challenge: after AI emerged as a new traffic entry point, they do not know how to adapt to AI recommendation rules, and struggle to secure product visibility in AI-enabled scenarios, creating strong unmet demand for supporting services.

3. Direction for solution development: Service providers can build services to help brands and retailers standardize and organize product, pricing and promotion data to align with AI recommendation logic, helping clients capture AI-driven traffic growth. This is a clear new business growth opportunity.

This survey reveals emerging shifts in grocery retail, outlining new directions for platform operation and growth. Key takeaways are as follows:

1. New merchant demands on platforms: AI has diverted existing platform traffic, as consumers have widely adopted the habit of making decisions via AI first before entering platforms. Merchants urgently need platforms to help them adapt to AI recommendation rules and secure more visibility, so platforms must respond to this new demand.

2. Directions for platform operational adjustment: Platforms need to optimize the structured output of product, pricing and promotion data to make it easier for AI tools to crawl merchant information, helping merchants improve their chance of being recommended by AI and driving overall platform transaction growth.

3. Risk mitigation and merchant acquisition strategy: Platforms need to proactively address the risk of AI-driven traffic diversion by integrating AI tools directly into their own shopping flows to prevent traffic leakage. They can also launch support and recruitment programs for AI-aligned sellers to attract more high-quality merchants and improve platform competitiveness.

This new survey data provides first-hand insights into emerging industry trends for research on AI in retail. Key reference content is summarized as follows:

1. Emerging industry trends: AI is penetrating the retail industry faster than previously projected, expanding from high-consideration big-ticket purchases to high-frequency, low-price, convenience-focused everyday grocery categories. It has fundamentally reshaped retail traffic distribution logic: AI recommendations have become a standalone new traffic channel alongside traditional search and shelf-based traffic.

2. New research questions worth exploring: After AI became an independent traffic entry point, what changes has it brought to retail competition rules? How can brands and retailers adapt to the new rules? What impact will widespread AI adoption have on pricing competition in retail markets? All these are new research directions that warrant in-depth exploration.

3. Directions for business model research: Currently, 28% of consumers complete purchases directly via AI. The future growth prospects of this AI-native retail business model, and its impact on traditional retail platforms, are both highly valuable research topics.