Social Rocket
Instacart is turning AI-powered shopping into a white-label product for retailers. With the new Cart Assistant, grocery retailers can integrate their own branded shopping assistant directly into their website and app. At the same time, Instacart is launching Clementine, its own shopping assistant for consumers in the US and Canada.
This shifts commerce AI away from general-purpose chatbots toward a new battle for owning the customer interface: retailers can offer conversational product search and cart building without handing the entire shopping journey over to ChatGPT, Claude or Gemini.
Cart Assistant runs directly at the retailer
In its official announcement, Instacart describes Cart Assistant as a white-label assistant for retailers' own websites and apps. The system connects Instacart's grocery data with the catalogue and customer data of the respective retailer.
Users can, among other things, find offers, reorder previous purchases, create recipes and shopping lists, or turn a photo of a handwritten list into a cart. Retailers can adapt name, tone, loyalty integration and recipe content to their brand.
According to Instacart, Food Bazaar, Heritage Grocers Group and Woodman's are already live. ALDI U.S., Harmon's, The Save Mart Companies and Stew Leonard's are expected to follow. Heritage Grocers has also implemented Spanish-language features together with Instacart, as Modern Retail reports.
Clementine applies the same model on the consumer side
Clementine is Instacart's own assistant within the marketplace and has been available since 9 September 2026 to most Instacart users in the US and Canada. From inputs such as "budget-friendly lunches for a week" or "order my usual products", the system is meant to build a personalized cart within seconds.
Instacart says the suggestions are based on products actually available at the chosen store. The company cites as its data basis more than 1,6 billion past orders, more than 2 billion product entries and over 10 million daily inventory signals from almost 100.000 stores. According to a footnote, these figures reflect the status as of 31 December 2025.
According to the company, early orders placed via Clementine contain on average more products than typical Instacart carts and exceed the average cart value of 115 dollars that Instacart cites. However, Instacart has not yet published a full conversion or comparison study for this.
Why this matters more for retailers than another chatbot
The key difference is not the chat interface, but control over data, brand and checkout.
If product search increasingly starts as a conversation, retailers basically have two options: let customers search through general-purpose assistants and hope to be selected there, or build the same interaction into their own channels. Cart Assistant is Instacart's attempt to make the second option available even to retailers who do not want to develop their own AI infrastructure.
This is the same strategic shift we recently saw with Meta's Muse as a shopping and web agent via WhatsApp: AI is moving from the information layer increasingly directly into the transaction.
For retail media this is also relevant. Whoever controls the assistant influences product discovery, recommendations, promotions and therefore potentially also new advertising inventory. At the same time, retail media is increasingly measured full-funnel, and conversational shopping interfaces could change this funnel once again.
Instacart is also distributing its commerce infrastructure to other AI systems
Instacart is not relying exclusively on its own interface. The company has already connected its shopping infrastructure with ChatGPT, Claude, Gemini and Google's AI Mode. Conversations started there can be turned into an Instacart cart.
Instacart is thus pursuing two strategies at once: it wants to be infrastructure for external AI assistants while also enabling retailers to build their own branded assistants.
For brands and retailers this is an important development. When AI selects products in the future, not only classic visibility will matter, but also which catalogue, which real-time data, which loyalty information and which promotions the assistant can actually process. This adds to the growing debate about how AI agents are already changing analytics and retargeting.
Cart Assistant is currently primarily a North American product. The bigger marketing question, however, is global: does AI-powered product search stay within the brand's own customer journey, or does it migrate to an external assistant?