Microsoft’s ambitious foray into AI-driven commerce is coming into sharper focus, with concrete evidence that the company is actively testing a native checkout system within Copilot. This evolving feature aims to blur the lines between search, recommendation, and transaction by allowing users to complete purchases directly through the AI assistant’s interface. Judging by clues uncovered in recent backend updates, Microsoft is not just experimenting—it is laying the groundwork for a major transformation in conversational commerce, potentially redefining how everyday users and merchants interact with products online.
Until now, Copilot has primarily served as an intelligent assistant, providing answers, suggestions, and productivity tools that span everything from document editing to complex research queries. But the addition of a commerce layer signals a calculated shift: Microsoft wants Copilot to become a point-of-sale as well as a point-of-reference. Early traces in the codebase—specifically references to Shopify and direct payment method storage—hint at an experience where users can move from discovering a product to purchasing it, all without leaving the comfort of their Copilot-powered app.
This is a significant leap forward, inspired in no small part by competitors like Perplexity, whose in-app shopping flow has set a high bar in the U.S. market. In that model, users complete transactions entirely within the assistant UI, removing the friction of redirection and form-filling that often causes shopping cart abandonment. Microsoft’s approach appears similar, with the planned introduction of native checkout buttons and support for popular e-commerce platforms like Shopify.
This relationship is further cemented through Microsoft’s newly launched merchant program. Designed to onboard sellers directly into Copilot’s ecosystem, this program would allow merchants to sync their product listings seamlessly, making them discoverable via conversational AI queries. Such a move stands to benefit small businesses, who could suddenly access an AI-driven audience much larger than their own direct traffic might permit.
Contextual prompts will likely play a pivotal role. For instance, if a user inquires about the best laptop for photo editing, Copilot may display product recommendations alongside an opportunity to purchase directly. This style of contextual suggestion, paired with a frictionless checkout, offers a powerful blueprint for conversational commerce.
Meanwhile, OpenAI’s ChatGPT is reportedly not far behind. Testing suggests that OpenAI is working on similar commerce flows, perhaps leveraging Microsoft’s backend or affiliate structures. The cross-pollination between these platforms should surprise no one; after all, Copilot and ChatGPT share architectural roots, web browsing capabilities, and a plug-in-based extension model. The stage is set for a rapid convergence around unified, assistant-based commerce.
With Microsoft and OpenAI sharing core technologies and architecture, it may only be a matter of time before users see largely interchangeable commerce experiences across Copilot and ChatGPT. Persistent backend signals suggest ongoing experimentation and cross-platform alignment, pointing to the emergence of a unified, AI-first commerce ecosystem.
The strengths of this approach are evident: streamlined purchase flows, powerful product discovery, and a potential win-win for users and merchants alike. Yet, the risks—around data privacy, merchant independence, and user trust—are just as real, demanding vigilant oversight and thoughtful design.
As competitors race to match and surpass these capabilities, the shopping journey itself may soon be recast as a conversation, not just a click. For now, the backend flags and pilot programs are signals of a coming transformation—one that every player in tech, retail, and AI will be watching closely.
Microsoft’s gamble is clear: tomorrow’s commerce will happen wherever you first ask about what to buy. And for an increasing number of users, that moment may arrive in Copilot.
Source: TestingCatalog Microsoft tests in-app shopping with Copilot checkout system
The Next Leap: From Search to Seamless Purchase
Until now, Copilot has primarily served as an intelligent assistant, providing answers, suggestions, and productivity tools that span everything from document editing to complex research queries. But the addition of a commerce layer signals a calculated shift: Microsoft wants Copilot to become a point-of-sale as well as a point-of-reference. Early traces in the codebase—specifically references to Shopify and direct payment method storage—hint at an experience where users can move from discovering a product to purchasing it, all without leaving the comfort of their Copilot-powered app.This is a significant leap forward, inspired in no small part by competitors like Perplexity, whose in-app shopping flow has set a high bar in the U.S. market. In that model, users complete transactions entirely within the assistant UI, removing the friction of redirection and form-filling that often causes shopping cart abandonment. Microsoft’s approach appears similar, with the planned introduction of native checkout buttons and support for popular e-commerce platforms like Shopify.
Key Technical Developments: Shopify Integration and Merchant Onboarding
Crucial to this new shopping experience is the deep integration with Shopify. Recent backend findings reveal string identifiers and feature toggles mentioning Shopify, strongly indicating that Microsoft envisions Copilot as both a discovery engine and a marketplace frontend. By tapping into Shopify’s vast ecosystem, Microsoft can offer users a familiar, secure, and diverse catalog of goods—while at the same time providing independent merchants a high-visibility platform nestled directly within Copilot’s interface.This relationship is further cemented through Microsoft’s newly launched merchant program. Designed to onboard sellers directly into Copilot’s ecosystem, this program would allow merchants to sync their product listings seamlessly, making them discoverable via conversational AI queries. Such a move stands to benefit small businesses, who could suddenly access an AI-driven audience much larger than their own direct traffic might permit.
Technical Strengths
- Frictionless payment flow: By allowing users to save payment methods and complete purchases within the assistant, Microsoft eliminates multiple steps that typically lead to drop-off.
- Shopify support: Leveraging one of the world’s largest e-commerce platforms gives Copilot a competitive catalog from day one.
- Conversational commerce: Copilot can recommend products contextually and facilitate direct purchases, collapsing discovery, recommendation, and transaction into a single experience.
- Affiliate and direct checkout support: By offering a mix of affiliate links and direct purchase options, Microsoft can monetize recommendations while offering users flexibility.
Technical and Strategic Risks
- Security and privacy: Storing payment methods within Copilot introduces new attack surfaces. Microsoft must grapple with both technical hardening and user trust.
- Merchant visibility: While onboarding to Copilot offers reach, it also risks locking merchants into proprietary ecosystems—potentially raising antitrust questions.
- Shopping tab user experience: Balancing commerce and productivity use cases is vital; too much promotion could erode Copilot’s perceived neutrality as an assistant.
The Interface: Copilot’s Shopping Tab and Contextual Prompts
While the native checkout feature is still in private development and not yet widely available, evidence suggests that the shopping experience will reside within a dedicated Copilot tab. Here, users may browse offers surfaced by the AI, with options to proceed via affiliate link or direct checkout. Microsoft’s design philosophy points toward minimal disruption, aligning offers and purchase flows as adjacent, rather than intrusive, elements within the broader Copilot interface.Contextual prompts will likely play a pivotal role. For instance, if a user inquires about the best laptop for photo editing, Copilot may display product recommendations alongside an opportunity to purchase directly. This style of contextual suggestion, paired with a frictionless checkout, offers a powerful blueprint for conversational commerce.
Comparison: Copilot vs. Perplexity and ChatGPT
Perplexity’s head start in in-app shopping has not gone unnoticed. Their system, which allows U.S. users to make purchases fully within the assistant without redirecting to external sites, has drawn attention for both its convenience and its implications for user data privacy. Copilot’s roadmap draws clear inspiration from this model while aiming to provide broader platform integration—especially by tying merchant onboarding to established e-commerce partners like Shopify.Meanwhile, OpenAI’s ChatGPT is reportedly not far behind. Testing suggests that OpenAI is working on similar commerce flows, perhaps leveraging Microsoft’s backend or affiliate structures. The cross-pollination between these platforms should surprise no one; after all, Copilot and ChatGPT share architectural roots, web browsing capabilities, and a plug-in-based extension model. The stage is set for a rapid convergence around unified, assistant-based commerce.
Broader Implications: Why This Matters
Microsoft’s expansion into AI commerce is far from a trivial upgrade—it represents a fundamental reimagining of the digital shopping experience. If successful, Copilot could transition from an information navigator to a transaction facilitator, changing the way consumers and businesses connect online.Advantages for Users
- Speed and simplicity: Users can research, compare, and purchase items without leaving the assistant.
- Personalized discovery: Copilot’s AI can surface products that align with user intent, browsing habits, and broader contextual cues.
- Reduced transaction friction: Fewer steps mean less risk of abandoned purchases and shopping fatigue.
Advantages for Merchants
- Enhanced discoverability: Sellers join a sprawling ecosystem where AI not only indexes their products but actively recommends them to targeted audiences.
- Easy onboarding: Microsoft’s merchant program promises straightforward listing integrations, especially for existing Shopify users.
- Potential for higher conversion rates: By meeting customers where they already are—within productivity and browsing tools—retailers could benefit from increased impulse buys.
Industry Impact
- Redefining product search: If conversational commerce gains traction, traditional product search (and the many ads it supports) may lose relevance.
- Pressure on third-party marketplaces: Amazon, eBay, and other marketplaces could see competition from assistants that integrate merchant catalogs directly.
- Affiliate ecosystems: The blurring of affiliate and direct sales models may create new types of partnerships and monetization strategies for AI platforms.
Cautions and Open Questions
Despite (or perhaps because of) its promise, in-assistant checkout raises important questions—many of which remain unaddressed as of this writing.Privacy and Data Safety
Centralizing payment information within an AI assistant, especially one as potentially ubiquitous as Copilot, increases the stakes for data security. Microsoft must make clear how it protects sensitive data, how it ensures transaction integrity, and how it manages potential breaches. Users—and regulators—will demand transparency about data storage, retention, and sharing practices.Merchant Autonomy and Platform Lock-In
For independent merchants, listing products on Copilot could provide an immediate boost to visibility. But there is a flip side: as Copilot (and similar assistants) become primary gateways to online shopping, merchants may find themselves locked into a proprietary “AI mall,” dependent on Microsoft’s rules and revenue sharing. The risk is twofold: loss of direct customer relationships and increased vulnerability to changing algorithmic or platform policies. These concerns echo longstanding criticisms of search engine and app store dependency.User Experience Balance
Striking the right balance between AI assistance and commerce will be challenging. Microsoft must avoid the perception that Copilot is simply another shopping aggregator in disguise. Users expect unbiased, context-sensitive AI help, not persistent sales pitches. The line between helpful suggestion and obtrusive ad is thin—and missteps here could erode trust in Copilot’s broader value.Competitive Outlook: The Race Toward Unified Commerce
Microsoft’s moves sit within a broader industry pivot, as major AI and tech players recognize the commercial potential of assistant-driven shopping. Perplexity’s early traction in the U.S. is validation that users respond to streamlined, in-assistant purchasing. ChatGPT’s rumored work on parallel infrastructure only heightens the sense that the AI commerce race is heating up.With Microsoft and OpenAI sharing core technologies and architecture, it may only be a matter of time before users see largely interchangeable commerce experiences across Copilot and ChatGPT. Persistent backend signals suggest ongoing experimentation and cross-platform alignment, pointing to the emergence of a unified, AI-first commerce ecosystem.
What Happens Next?
As backend flags and development rolls forward, public testing of Copilot’s shopping tab and native checkout could arrive in preview build updates or as limited trials within select user segments. The true litmus test, however, will be whether Microsoft can deliver on its promise of convenience, security, and value without sacrificing the impartiality or safety of the AI assistant model.Conclusion: Toward the Era of Conversational Commerce
Microsoft’s push to embed native checkout and commerce features within Copilot is more than an incremental upgrade—it’s a strategic bet that AI assistants can become the new front door for online shopping. By leveraging partnerships with Shopify and launching a merchant program designed for maximum reach, Microsoft is building the infrastructure for a future in which search and transaction are one and the same.The strengths of this approach are evident: streamlined purchase flows, powerful product discovery, and a potential win-win for users and merchants alike. Yet, the risks—around data privacy, merchant independence, and user trust—are just as real, demanding vigilant oversight and thoughtful design.
As competitors race to match and surpass these capabilities, the shopping journey itself may soon be recast as a conversation, not just a click. For now, the backend flags and pilot programs are signals of a coming transformation—one that every player in tech, retail, and AI will be watching closely.
Microsoft’s gamble is clear: tomorrow’s commerce will happen wherever you first ask about what to buy. And for an increasing number of users, that moment may arrive in Copilot.
Source: TestingCatalog Microsoft tests in-app shopping with Copilot checkout system