Retailers are now entering a more cautious phase in their relationship with AI‑driven commerce.
After a period of rapid experimentation and high expectations, many brands are now reassessing how deeply artificial intelligence should be embedded into the buying journey, particularly when it comes to conversion and checkout.
While AI has proven effective at reducing friction and accelerating discovery, its growing role as an intermediary between brands and customers has raised concerns around data ownership, trust, and long‑term customer value.
As a result, retailers are beginning to scale back certain integrations, seeking a more balanced approach that preserves the speed and relevance AI offers without surrendering control over the customer relationship.
ChatGPT Checkout Exposes Gaps in AI‑Driven Commerce
In September 2025, Shopify announced its decision to partner with OpenAI to enable AI‑driven product discovery and purchasing experiences within ChatGPT, positioning conversational agents as a new entry point to online storefronts.
By letting consumers discover, decide, and purchase within a single conversational flow, ChatGPT became a point of sale.
For retailers, this new approach promised faster conversions and reduced drop‑off rates, and enabled OpenAI to enter the retail world with a new revenue stream.
However, just months after their announcement, OpenAI confirmed its decision to retreat from frictionless AI checkout, having underestimated the complexity of real‑world commerce and the trust signals consumers expect at the point of purchase.
As early-onset enthusiasm gave way to caution, retailers are now re‑evaluating the risks, rewards, and long‑term implications of embedding third‑party AI directly into the buying experience.
When Convenience Comes at the Cost of Control
As a result, the trade‑off between convenience, automation, and ownership of the customer journey has now moved from a theoretical concern to an operational reality for retailers.
With the promise of speed and simplicity after enabling in‑chat product discovery and purchasing inside ChatGPT less realistic than expected, retailers were forced to reassess how much of their commerce stack they were willing to hand over in exchange for convenience.
When the buying moment shifts into a third‑party AI environment, retailers begin to lose control over the most valuable parts of the customer relationship, and what initially appeared to be a distribution win instead exposed deeper concerns around ownership, trust, and long‑term value.
Speaking with CX Today, Matt Wurst, CMO at Genuin, argues that in-chat checkout ultimately strips away control over the brand experience and customer relationship, reducing retailers to interchangeable products within a platform they do not own.
“The honeymoon’s over. Retailers signed up for distribution and are realizing they traded the customer relationship for it,” he explained.
“In‑chat checkout abstracts away everything that makes a brand a brand: merchandising, the post‑purchase moment, the data, the feedback loop. You’re an SKU in someone else’s interface.”
When discovery and checkout happen outside a brand’s owned channels, retailers can lose direct visibility into customer behavior, therefore limiting access to first‑party data, weakening personalization and loyalty strategies, and likely losing opportunities to shape post‑purchase relationships.
The checkout moment is where brands capture the richest insights, reinforce trust, and outsourcing that moment risks turning a customer relationship into a one‑time transaction mediated by someone else’s platform.
As a result, retailers are increasingly drawing clearer boundaries around where automation should accelerate the journey and where ownership of the experience remains non‑negotiable.
Why Outsourcing Checkout Creates Long‑Term Exposure
With these concerns now at the front of many brands’ minds, retailers are hyper-focused on the concrete risks of relying on third‑party AI platforms for conversion and transaction capture.
When customer interactions are mediated through external AI assistants or marketplaces, the platform often becomes the primary interface between the brand and the buyer, ultimately shifting ownership of the conversational journey and limiting a retailer’s ability to understand how intent is formed.
As a result, the brand risks becoming a supplier inside someone else’s experience rather than the owner of a direct customer relationship.
Data and intelligence risks also enhance this problem, as customer conversations with high value signals take place inside third‑party AI environments, retailers may receive only partial visibility or summarized outputs, rather than full access to raw interaction data.
This can cause the external platform to accumulate a deeper understanding of customer behavior than even the retailer itself, weakening the brand’s ability to build intelligence or improve lifetime value.
Elissa Brown, E‑Commerce Lead for North America at AppsFlyer, told CX Today that handing checkout to third‑party AI platforms strips retailers of visibility into conversion and customer behavior.
“The checkout moment is the most data‑rich, relationship‑defining interaction. If you can’t see conversion, you can’t learn,” she warns.
“Without learning, you can’t build loyalty – and without loyalty, you’re renting customers from an LLM.”
This can also increase operational and financial dependency, where changes made to APIs, fees, or compliance requirements by third-party AI platforms can affect conversion performance with little warning.
For retailers, as a result, switching providers can be complex, costly, and disruptive, reducing strategic flexibility and increasing exposure to decisions made outside their control.
Furthermore, this can be complicated by measurement and attribution challenges, where retailers may lose clarity on which interactions drove conversion if discovery, conversation, and checkout occur within third‑party AI interfaces.
This can make it harder to optimize funnels, allocate spend effectively, or understand true channel performance, whilst governance and compliance risks grow as sensitive customer data flows through systems the retailer does not directly operate or govern.
