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PARTNERSHIPS OBSERVATORY / COMMERCE

What keeps commerce businesses valuable as customers shop through AI?

AI partnerships separate access to the buyer from the capabilities needed to complete a purchase. Competitive advantage depends on which contributions remain difficult to replace.

Read the domain argument ↓Explore companies and comparisons ↓
01

WHAT IS CHANGING?

The purchase can move
without the whole
business moving.

Access to the buyer, operation of the purchase and the reason to return are distinct positions.

AI services can gather a buyer’s needs, compare offers and become the place where a purchase begins. Commerce platforms, retailers and service providers can continue to supply the systems, goods and operations behind it. A change at the interface can therefore redistribute influence without transferring every operating role.

This opens several positions at once: organising demand, connecting sellers to channels, executing transactions, and providing something buyers specifically want. Firms can hold more than one. Payment, identity and customer data cut across them; they do not move automatically with the purchase screen.[7]

The result is a contest over how those contributions fit together. An AI service may shape which provider gets considered. A platform may connect merchants to several services. A provider may keep its own account, basket or checkout inside an AI experience. These arrangements create different opportunities to influence choice, maintain a relationship or become replaceable.[6]

The important change is therefore broader than “shopping in a chatbot”. Activities can be separated and recombined across firms. That makes the boundaries between businesses—and the capabilities that sustain those boundaries—open to reconsideration.

Not every partnership moves the customer route. Retailers such as Lowe’s run their own assistants on lab models: they keep the interface and assortment and import capability, taking on a dependency on the model supplier instead of a channel. The same lab can play both roles—Google supplies Home Depot’s and Ulta’s assistants and runs a channel where their products compete.[1]

ONE PURCHASE / SEVERAL CONTRIBUTIONS

Illustrative industry structure. Firms can occupy several roles.

SHAPE THE CHOICE

AI services

Gather intent, compare options and organise the customer-facing experience.

CONNECT & EXECUTE

Commerce infrastructure

Connect catalogues, operate transactions and manage participation across channels.

SUPPLY & SERVE

Retailers & providers

Contribute assortment, accounts, service and the capabilities behind the order.

Across all three: identity · payment · data · rules of access

A grocery example makes the distinction concrete.

At its documented launch, Instacart’s app let a buyer pay inside ChatGPT through OpenAI’s Instant Checkout component; the sources do not identify the checkout operator. In the AI Mode configuration studied, the buyer continued to Instacart to check out. Where a buyer pays does not by itself establish who runs checkout.[2]

Compare the two arrangements →
02

WHY DOES IT DIFFER?

Why do different purchases create different dependencies on commerce companies?

A product purchase, grocery basket and restaurant order require different information and operating services. Those requirements shape which companies an AI channel must connect to.

A simple item purchase, a grocery basket and a delivered meal require different coordination. A channel that can capture an order still needs someone to accept it, keep it feasible and deliver the service. Which firms remain involved depends on the activity system—not just the sophistication of the model.[3]

The restaurant research illustrates this distinction. Pickup can connect an AI channel to a point-of-sale platform without the same courier requirement as delivery. That creates a possible route around a delivery marketplace for one activity while leaving a need for delivery capability elsewhere. A marketplace is exposed when customers use that direct route for orders it would otherwise coordinate.

Provider differentiation also matters. Buyers who ask for a particular brand, account benefit or service give that provider a different position from a seller presented as one interchangeable option among many. Retaining an account can help sustain that distinction; it does not, by itself, establish who wins the next purchase.

Standards add another tension. A common interface can expand a platform’s reach while making its connecting work easier for others to reproduce. The platform’s position then depends on what it supplies beyond translation: execution, a merchant base, data quality or coordination across channels that still differ.[4]

COORDINATION

Can another route complete the job?

Separate taking an order from accepting, coordinating and fulfilling it.

DIFFERENTIATION

Does the buyer want this provider?

Examine assortment, trust, accounts and service that survive comparison.

OPENNESS & ALTERNATIVES

Does connection also provide a way out?

Open protocols do not automatically make customer relationships portable or selection rules open.

Retained work is not the same as retained advantage.

Execution can make a provider necessary. It can also leave that provider bearing costs and obligations while another firm shapes demand. The difference turns on replaceability, customer recognition and usable alternatives.

03

WHAT DOES IT MEAN?

Defend the contribution
others would struggle
to replace.

For a commerce platform, the question is whether it remains valuable as more connections become standard. Expanding into more AI channels can grow its role, but the same openness can support rival connectors or direct participation. Its position is stronger when it coordinates a service that merchants and AI channels would find costly to reproduce through another connector.

For a retailer or service provider, the question is what gives buyers a reason to choose it even when discovery happens elsewhere. That may be a distinctive product, an account, a basket, service quality or a trusted relationship. The strategic choice is what to make accessible through partners while continuing to develop that distinction.

For an AI service, shaping selection creates an opportunity. Turning that opportunity into durable leverage would also require buyers to return, providers to be substitutable and alternative access to be weak. [5]

No single outcome follows. Several arrangements can coexist, and AI can remain an additional channel with limited redistribution of advantage. Strategy should distinguish commitments that help across several futures—strong capabilities and viable alternatives—from bets that depend on one route becoming dominant.

ALTERNATIVE PATHWAYS / CONDITIONAL, NOT FORECASTS

AI services organise demand.

More buyers return to the same service; comparable providers compete for selection.

Watch: repeat buying and selection terms.

Providers stay destinations.

Distinctive products, accounts and services sustain provider preference within and beyond AI channels.

Watch: named-provider demand and account use.

Connection becomes infrastructure.

Common interfaces make participation easier; advantage depends more on what firms do beyond connecting.

Watch: implementations, portability and governance.

These pathways can coexist by category. Continuity—AI as one more route in multichannel commerce—remains a credible outcome.

FROM INDUSTRY STRUCTURE TO COMPANY POSITION

See where the
argument leads.

A company view asks what the firm retains. A comparison explains a particular difference.

Does the same explanation travel?

Return to Partnerships to compare commerce with industries where accounts, permissions and operating boundaries differ.

Return to the cross-domain argument →

PERSPECTIVE

Why do firm boundaries move?

Connect the Commerce argument to the broader framework of coordination and advantage.

ADVISORY

Which role should you hold?

Examine the capabilities, relationships and alternatives relevant to your strategic decision.

Apply this to your business →

COMMISSIONED RESEARCH

Investigate your market.

Develop the research and analytical experience for your leadership, customers or partners.

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Sources and notes

  1. Case evidence. Partnerships Observatory, corrected own-surface-assistant findings, cutoff 7 October 2026, supplier-route and source-argument comparisons covering Lowe's, Macy's, Ulta and other named cases. Model supply, packaged agents and cloud/vendor mediation are distinguished. Interface retention is observed where stated; data rights, practical switching and causal performance gains remain unestablished. Source attributions and dated case disclosures remain in the research.

  2. Case evidence. Instacart, "Instacart App Launches in OpenAI ChatGPT - First Company to Offer New Instant Checkout App Experience" (8 December 2025); Partnerships Observatory, dated grocery reconstructions and Instacart channel comparison, cutoff 7 October 2026. Embedded launch payment, provider handoffs and unresolved checkout operators are distinguished. Each record carries its own date and operating status.

  3. Theory. Sangeet Paul Choudary, Reshuffle (first edition, July 2025), "Containerization as coordination," pp. 23-24. This informs the distinction between changing a customer interface and coordinating the service behind it. Its application here is the Observatory's interpretation.

  4. Theory. Carliss Y. Baldwin and Marcus Holgersson, "Ecosystem Evolution: Contracts, Modules, and Standards," forthcoming handbook chapter, held manuscript, pp. 7-11. Compatible modules and design rules can permit replacement. The commerce application remains conditional on working compatibility and usable participation rights.

  5. Theory. Richard M. Emerson, "Power-Dependence Relations," American Sociological Review 27, no. 1 (1962), pp. 31-41, especially pp. 32-33. Dependence concerns valued outcomes and costly alternatives for the same outcome. The strategic application here is the Observatory's; the analysis examines how alternatives affect negotiating room.

  6. Third-party analysis. Boston Consulting Group, "Agentic Commerce Is Redefining Retail - How to Respond" (2025), "The Threats to Retailers" and retailer-response sections. Its analysis of AI-mediated choice and customer contact informs these questions.

  7. Third-party analysis. McKinsey, "The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants" (17 October 2025), chapters 1-2, direct and brokered interaction models and interoperability. These distinctions inform the explanation; the Observatory applies them to the arrangements and capabilities in its research.