AI Shopping Experience · Readiness & experience design

Prepare your store for agentic commerce.

Start with the product information and buying paths your business controls.

We help DTC brands and retailers assess their catalog, selected AI shopping channels, and customer experience. Define the data, controls, and implementation priorities before committing to a new buying route.

Shopping assistant
I need waterproof trail shoes under $120
Here are 3 options from Your Store, all waterproof and in your size.
Ridge GTX$115
Summit Dry$112
Cloud Trail$109
Referral from an AI channel
your-store.com
From AI assistant
Summit Dry$112 · In stock
40414243
Add to cart✓ Added to cart
Illustrative AI shopping path

An AI recommendation and an AI-completed purchase are different experiences.

The work depends on where assistance happens and how the customer completes the purchase. Each route has its own data, experience, and operational requirements. We assess the route that fits your business rather than treating every AI tool as the same solution.

  • Discovery through an external agent

    A customer finds a product through an AI channel and follows the available path to your store.

  • Assistance within your store

    An assistant helps the customer explore options, compare products, or find relevant information.

  • A purchase through an enabled agent route

    A supported channel and checkout setup allow the transaction to proceed under the customer's authorization.

Make product information useful for the route you choose.

A PIM can support the work. It is not a requirement for every store. Start with the systems and catalog you already have; when product complexity or multiple destinations justify it, define the structure and workflows a PIM should support.

  • Product identity and differences

    Review titles, descriptions, identifiers, variants, and the attributes needed to compare the selected products.

  • Current offers

    Identify the sources responsible for price and availability, and how changes reach the selected destination.

  • Buying information

    Check the product information, shipping details, and existing policies customers need to understand the offer.

  • Data mapping and ownership

    Define which fields are used, who maintains them, and where inconsistent or missing information needs work.

Review the buying path before choosing the integration.

Assess how the selected channel receives product information, where checkout happens, and how orders and customer support continue after the purchase.

  • Which route is available?

    Check the platform, market, account, and product requirements for the channel being considered.

  • Where does the purchase happen?

    Distinguish a referral to your store from a checkout available within the selected channel.

  • Who maintains the offer?

    Identify the systems and teams responsible for product updates, pricing, and availability.

  • What happens after checkout?

    Define order visibility, fulfillment responsibilities, customer communication, and support.

Shopify agentic storefronts and AI shopping assistants.

For a Shopify setup, we review the agentic storefront options available to the store and the requirements of the selected channel. Eligibility and the buying route are checked before implementation is scoped.

When an onsite assistant is selected, define the questions it should answer, the product information it can use, and the actions it is allowed to take. Give customers a clear path to product pages and human support.

AI shopping routesExample Shopify storeIllustrative
Route 1 · ReferralCheck eligibilityAI channelProduct pageStore checkout
Route 2 · Checkout in channelCheck eligibilityAI channelCheckout in channelOrder in Shopify
Onsite assistant · your storeAnswersSize, materials, shippingUsesCatalog and policiesHands offHuman support
Route chosen before implementation is scoped
Illustrative AI shopping routes

Define the experience, the controls, and the work required.

Measurement accompanies the work throughout. The scope separates readiness, implementation, and ongoing operation.

  1. Discover

    Review your catalog, customer needs, current buying paths, and the AI shopping routes worth assessing.

  2. Define

    Agree on the use case, data sources, permitted actions, requirements, responsibilities, and evaluation.

  3. Develop

    Prepare the agreed data and experience specifications. Prototype or configure selected work when implementation is included.

  4. Deliver

    Review the outputs, document remaining gaps, and hand over priorities and operating responsibilities.

Keep customer control and business responsibility visible.

Define what the assistant or agent can do, what needs customer confirmation, and where a person takes over. Agree on how the team will review incorrect answers, outdated offers, and unsuccessful transactions.

A readiness review with evidence and next steps.

Use an agreed set of products and questions to review information quality, the available buying path, and the support experience. Record the conditions of each check and distinguish an observed issue from a change in the channel.

  • Selected route and requirements: the channel, buying path, and conditions being assessed
  • Catalog and experience gaps identified within the agreed review
  • Prioritized implementation plan with dependencies, responsible teams, and work needing a separate scope
  • Evaluation and handover: checks, observations, limitations, and measurement questions

From the Blog

Further reading.

Articles from our blog on the topics this page covers.

View all articles

AI shopping experience questions

We assess selected product data, buying paths, platform requirements, customer controls, and measurement. The deliverables identify what is ready, what needs work, and which implementation tasks require a separate scope.

No. An onsite assistant is one possible use case. Preparation for external AI shopping channels also involves catalog information, supported buying routes, and the operation behind a purchase.

We review the information and routes your business can control. The AI channel decides what it displays, so eligibility or improved data does not guarantee a recommendation, placement, or sale.

We start with your existing store and systems. Platform options and product information tools are assessed against the selected route, catalog complexity, and implementation requirements.

The proposal identifies any design, prototype, configuration, or development included in the project. A readiness review does not automatically include a production assistant, delegated payments, or every protocol.

Our AI Search Visibility service addresses discovery through search and answer engines. This page focuses on preparing product information, the buying experience, and the operation for selected AI shopping routes.

We agree on requirements, evaluation conditions, and the data available for the selected route. Measurement may include data quality, task completion, referrals, or orders, with sources and limitations documented.

The scope depends on the catalog, channels, experience design, technical work, and evaluation required. We review those needs before preparing a proposal.

Which AI shopping route is worth preparing for?

Tell us about your catalog, current store, and the experience you want to evaluate.

We will help define the preparation and implementation work worth prioritizing.

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