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Google Cloud Implementation Services

AI Commerce Search Implementations

Nimstrata builds custom integrations of AI Commerce Search on Gemini Enterprise for Customer Experience (formerly Vertex AI Search for Commerce) to help you modernize your storefront's product search and recommendations. We connect catalog data, shopper events, and the buying experience, then help your team evaluate the result against a business baseline.

Using a standard Shopify theme? Start with Retail Cloud Connect or our done-for-you theme setup. For a custom storefront or an own-project deployment, discuss your implementation.

Why Nimstrata?

Google's AI Commerce Search is publicly available, you don't need us to use it. So why work with us?

  • It's Our Whole Business. Nimstrata was founded to build the tools and services required to implement AI Commerce Search.
  • Deep Engineering Expertise. Google's Retail API is powerful, but complex. We're seasoned developers who embrace the challenge so you don't have to.
  • Founded by Googlers. Nimstrata was founded by former Google engineers who know the platform inside and out.
  • Operational Handoff. We train your team to work with the search and merchandising tools after implementation.

Following an AI Commerce Search Workshop, our implementations focus on getting the most out of Google Cloud's AI Commerce Search on your storefront.

If you don't already have a business case from a AI Commerce Search Workshop, we start by building a business case with you to ensure that this solution will help your bottom line.

Together, we determine what a meaningful uplift in top-line revenue would be required to make a project worthwhile.

What an implementation covers

  1. Agree the scope and success criteria

    Review your catalog, storefront, search queries, current conversion baseline, and operating budget. Define the experience to test and who approves launch.

  2. Connect catalog data and shopper events

    Map products, variants, attributes, and inventory to Google Cloud's catalog. Connect user events with matching product identifiers and check data quality before evaluating relevance.

  3. Build and validate the storefront

    Integrate search, collection browsing, filters, and any agreed recommendations. Test representative queries, tracking, mobile behavior, and theme or frontend compatibility in a preview environment.

  4. Launch, measure, and hand over

    Agree the release and rollback process, compare the agreed business metrics, and train your team on merchandising and operations. Define ongoing support separately in the project scope.

Google's implementation overview explains the catalog and event-data requirements. For Shopify, see our setup documentation and Storefront API guide. Review platform and usage charges alongside the implementation scope.

See a Shopify migration in practice

Cotopaxi moved from Fast Simon to Google Cloud search through Nimstrata. Its case study describes the implementation and reports a 44.78% increase in search conversion rate. That is one customer's reported result; it is not a forecast for another storefront.

Read the Cotopaxi case study

Workshops & Trainings

Everything we do includes a "train the trainer" component. Unlike most consulting firms, we don't want the work that you can do yourselves. We see the most value in helping our customers become the subject matter experts within their own organizations. When our customers and their teams embrace a growth mindset, their AI Commerce Search projects quickly transition into an innovative opportunity.

FAQ

Implementation questions

Should we use the Shopify app or a custom implementation?

For a compatible Shopify theme, Retail Cloud Connect provides catalog synchronization and App Blocks. Hydrogen and custom storefronts require a frontend integration with the Storefront API and user-event tracking. A custom implementation is appropriate when the storefront, data sources, or ownership requirements go beyond the standard app setup.

Do we need our own Google Cloud project?

The managed Shopify plans do not require you to operate your own Google Cloud project. An own-project deployment requires a billing-enabled project, the Retail API, and the documented access permissions. Google Cloud usage is billed separately from Nimstrata's platform fee for that deployment model.

How much does an implementation cost and how long does it take?

Custom work is scoped around the catalog, storefront, data quality, and integrations. Request a proposal with deliverables, fees, responsibilities, acceptance criteria, and ongoing support. The separate $500 done-for-you Shopify theme service has a narrower scope; its price and delivery terms are not a quote for a custom integration.

Can you guarantee a conversion uplift?

No. Results depend on the catalog, event data, traffic, and shopper experience. Agree a baseline and a measurement method before launch, validate event collection, and compare conversion and revenue per visitor over an appropriate evaluation period.

Get Started

Ready to implement AI Commerce Search?

Schedule a workshop to evaluate the impact on your storefront.

Schedule Workshop