AGENTIC COMMERCE CASE STUDY PROGRAM

From use case →

to live implementation

The Agentic Commerce Advisory Case Study Program is an implementation program for merchants, brands, AI platforms, and solution providers seeking to move a meaningful agentic commerce use case from definition to live deployment.

ACA evaluates the opportunity and readiness, helps match the capabilities and participants required, and creates a path toward implementation, measurement, and a potential market-facing reference implementation.

THE OUTCOME

Live implementation • Measured results • Reference implementation

ONE FOCUSED PATH

1 →

Apply

Share your priorities, current stage, from early exploration to development, capabilities, and readiness

2 →

Get Matched

Connect with the right platform, solution providers and merchant or brand required to deliver the use case

3 →

Develop

Co-develop and launch a focused, real-world implementation

4 →

Demonstrate

Measure the results and create a market-facing reference

This is an agentic commerce implementation and matching program for merchants, brands, AI platforms, and solution providers that want to move a real business use case from definition to live deployment.

APPLICATIONS CLOSE OCTOBER 31st

Rolling review · 10 minute application

ILLUSTRATIVE OPPORTUNITIES

Reference implementations worth exploring

These examples show the level of business relevance and end-to-end ambition we are seeking. Applicants do not need to fit one of these models.

AI Assisted Shopping

The build: An AI shopping assistant that guides customers from discovery and comparison through checkout on a merchant’s website or app.

Why it matters: It brings intelligent decision support into a critical merchant-owned channel.

What it demonstrates: Impact on engagement, add-to-cart, conversion, average order value, and abandonment.

Higher-consideration conversion

The build: An agent-assisted journey that translates customer needs into relevant options, clear comparisons, and a confident purchase decision.

Why it matters: Considered purchases create greater research effort, uncertainty, and abandonment.

What it demonstrates: Impact on purchase confidence, conversion, time to decision, average order value, and returns.

B2B procurement

The build: An agent-supported workflow for supplier discovery, comparison, negotiation, approval, and purchase within defined controls.

Why it matters: Procurement remains fragmented, manual, and costly to operate.

What it demonstrates: Impact on cost, cycle time, employee effort, compliance, and supplier performance.

AI-platform integration

The build: A live connection that makes merchant catalog, availability, pricing, policies, and transaction capabilities actionable inside AI platforms.

Why it matters: AI visibility creates limited value if customers cannot move from recommendation to transaction.

What it demonstrates: Impact on qualified demand, successful agent actions, transaction completion, conversion, and exceptions.

Rolling review · 10 minute application

CAPABILITIES THAT MAY ENABLE THE WORK

AI discovery, GEO and recommendation
Shopping assistants and agent experiences
AI-platform and protocol integration
Product, inventory and pricing data
Identity, permissions and trust
Agentic payments and transaction controls
Order management and fulfillment
Measurement and experimentation

WHO SHOULD APPLY

Organizations prepared to move

The program is designed for merchants and brands, AI platforms, and solution providers that want to develop or enable a meaningful agentic commerce use case.

Participants should bring either a clear business opportunity, a relevant capability, or a concrete interest in contributing to a real-world implementation.

WHAT TO BRING

A starting point — not a finished solution

Applicants may come with a defined use case, an opportunity they are still shaping, or a capability they believe could support an agentic commerce implementation.

ACA will consider the business objective, current maturity, required capabilities, and potential partner fit as part of the selection and matching process.

WHAT PARTICIPANTS RECEIVE

Matching, implementation support, and a path to market

Participants may be matched with relevant merchants, brands, AI platforms, solution providers, and other ecosystem participants based on the use case, business objectives, readiness, and capabilities required.

From these matched opportunities, up to three use cases will be selected to receive complimentary support from Agentic Commerce Advisory from design through implementation.

ACA support may include use-case definition, partner matching, solution and implementation design, working sessions, execution coordination, and measurement planning, with the goal of advancing toward a live implementation, measurable results, and a potential market-facing reference implementation.

Rolling review · 10 minute application

FREQUENTLY ASKED QUESTIONS

Questions about the Case Study Program

Answers to Common questions about participation, matching, support, and next steps.

What is the Agentic Commerce Advisory Case Study Program?

The Agentic Commerce Advisory Case Study Program helps merchants, brands, AI platforms, and solution providers move meaningful agentic commerce opportunities from use-case definition toward live implementation.

The program combines opportunity assessment, partner matching, implementation planning, and measurement with the goal of creating real-world, measurable implementations.

Who should participate in the Case Study Program?

The program is designed for merchants and brands with meaningful commerce opportunities, AI platforms interested in enabling real-world use cases, and solution providers with capabilities relevant to agentic commerce implementation.

Why did Agentic Commerce Advisory create the Case Study Program?

Commerce is at a transition point. Consumer behavior is changing rapidly as AI becomes part of how people discover, evaluate, decide, and increasingly transact. Merchants and the broader commerce ecosystem need to adapt, but the industry still has relatively few real-world reference implementations showing what agentic commerce looks like in practice.

ACA created the Case Study Program to help close that gap. By bringing together merchants, AI platforms, and solution providers around meaningful use cases, the program aims to create live implementations, measurable outcomes, and practical learnings that can be shared with the market.

More reference implementations and case studies can help the industry accelerate adoption, shorten learning curves, generate better data, and understand what works—technically, operationally, and commercially.

Why work with the Agentic Commerce Advisory?

Agentic Commerce Advisory is an operator-led advisory firm focused on practice, not theory. The team brings senior operating experience across commerce, AI, marketplaces, payments, product, and digital transformation.

Our advisors have worked across some of the world’s largest ecommerce, marketplace, technology, and payments platforms — experience that informs how we approach agentic commerce in the real world: what needs to change, what needs to connect, and what it takes to move from an idea to implementation.

ACA works at the intersection of strategy and execution, helping organizations define the opportunity, identify the capabilities and partners required, design the implementation path, and turn emerging agentic commerce concepts into practical, measurable business outcomes.

Additional FAQs

What kinds of agentic commerce use cases are relevant?

Relevant opportunities may include AI discovery, AI-assisted shopping, shopping assistants, AI-platform integration, agentic payments, assisted or autonomous transactions, post-purchase experiences, higher-consideration commerce, B2B procurement, and other AI-driven customer and commerce journeys.

Do I need to have a fully defined use case before applying?

No. Applicants may bring a defined use case, an opportunity they are still shaping, or a capability they believe could enable a meaningful agentic commerce implementation. ACA considers the business objective, maturity, required capabilities, and potential partner fit.

Can Agentic Commerce Advisory help identify or refine the use case?

Yes. ACA can help clarify the business problem, define the intended outcome, identify the capabilities required, and determine which participants may be needed to move a relevant opportunity toward implementation.

How does participant matching work?

Matching considers the use case, business priorities, desired outcomes, current readiness, required capabilities, and fit across merchants, brands, AI platforms, solution providers, and other ecosystem participants. The objective is to bring together the participants needed to advance a meaningful implementation.

What happens after I apply?

ACA reviews applications based on the opportunity, readiness, capability requirements, and potential partner fit. Relevant participants may then be matched around a specific use case and invited into discussions to determine scope, roles, feasibility, and the path toward implementation.

What do participants receive?

Participants may be matched with relevant organizations and capabilities needed to advance an agentic commerce opportunity. From these matched opportunities, up to three use cases will be selected to receive complimentary support from Agentic Commerce Advisory from design through implementation.

What does complimentary ACA support include?

Depending on the selected use case, ACA support may include use-case definition, business-outcome alignment, partner matching, solution and implementation design, working-session facilitation, execution coordination, and measurement planning.

Third-party technology, software development, integration, platform, or vendor costs are not included unless separately agreed.

What does a successful Case Study implementation look like?

A successful implementation moves beyond concept or demonstration to a clearly defined use case with the right participants, a working implementation, and measurable business outcomes. Where appropriate and agreed by the participants, the work may also become a market-facing reference implementation.

Ready to explore a real world implementation?

Start your application and tell us what you're looking to build.

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