Generative AI · agentic commerce · Shopify

Make your store ready
for AI shoppers.

We help ecommerce teams become discoverable in AI channels, build useful shopping experiences, and automate internal work—with trusted data, human ownership, and measurable commercial outcomes.

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Why the offer changed

AI is becoming
a commerce channel.

Outside your store

AI-led discovery

Products must be structured so assistants can understand, compare, recommend, and route customers accurately.

Inside your store

Conversational journeys

Search, advice, comparison, and service can now respond to intent instead of relying only on menus and keywords.

Behind your store

AI-assisted operations

Catalog, merchandising, support, reporting, and exception work can be accelerated without removing human accountability.

Focused capabilities

Build the right layer.
Not another AI demo.

Enter through a focused use case, or begin with strategy when the opportunity, data, or governance model is still unclear.

Capability lane

AI commerce foundation

Choose the right opportunities and make your products, knowledge, controls, and measurement ready for AI-led commerce.

AI for ecommerce↗

AI Strategy

A practical AI roadmap for ecommerce teams—grounded in usable data, measurable workflows, platform constraints, and responsible governance.

Opportunity mapData readinessGovernance modelPilot blueprint
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AI for ecommerce↗

Agentic Commerce

Prepare your Shopify catalog, brand knowledge, policies, and checkout journey for discovery and purchase across ChatGPT, Gemini, Copilot, and emerging AI shopping surfaces.

AI visibility auditCatalog intelligence layerBrand knowledge layerChannel activation
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Capability lane

Customer-facing AI

Help shoppers discover, compare, decide, and get support through grounded experiences connected to live commerce data.

AI for ecommerce↗

Shopping Assistants

Conversational product guidance connected to your catalog, policies, availability, and brand rules.

Product advisorComparison assistantGuided bundlesCart and handoff
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AI for ecommerce↗

AI Search

Semantic, conversational, and multimodal discovery for catalogs where conventional search leaves customers stranded.

Hybrid retrievalConversational refinementVisual discoveryRelevance laboratory
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AI for ecommerce↗

Personalization

Recommendation, ranking, and content decisions that combine customer signals with controllable merchandising priorities.

Recommendation strategyAdaptive collectionsLifecycle personalizationExperimentation layer
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AI for ecommerce↗

AI Support

AI-assisted ecommerce support connected to orders, policies, products, and helpdesk workflows—with clear escalation to people.

Customer self-serviceOrder assistantAgent copilotQuality operations
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Capability lane

Commerce operations AI

Give merchandising and operations teams reliable copilots and human-reviewed workflows inside the systems they already use.

AI for ecommerce↗

Content Operations

Governed generation and enrichment workflows for product attributes, descriptions, imagery briefs, translations, collections, campaigns, and market-specific content.

Catalog enrichmentLocalization studioCampaign copilotApproval and QA
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AI for ecommerce↗

AI Automation

Human-reviewed AI workflows for catalog operations, order exceptions, reporting, content preparation, and internal decision support.

Catalog operationsException triageCommerce analystWorkflow orchestration
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Ways to engage

Start at the level
your team needs.

A useful first engagement should reduce uncertainty, prove one outcome, and leave behind a foundation that can be evaluated and operated.

Engagement2–3 weeks

AI commerce readiness sprint

Opportunity, data, agentic-channel, and governance audit ending in a ranked roadmap.

Engagement6–10 weeks

Customer experience pilot

One measurable shopping, search, personalization, or service use case built against real catalog data.

Engagement4–8 weeks

Operations pilot

One repeated merchandising or operational workflow redesigned with approvals, logs, and safe fallback.

EngagementOngoing

Scale & optimization

Evaluation, cost control, knowledge maintenance, new workflows, model changes, and adoption support.

Production standard

Every AI system needs
an operating model.

Models change. Data changes. Customer expectations change. We design the controls required to keep the capability useful after launch.

✓Approved source data
✓Permissions and privacy
✓Human review points
✓Evaluation test sets
✓Cost and latency budgets
✓Monitoring and fallbacks
✓Version and prompt control
✓Clear business ownership

Let’s work together

Start with one
valuable decision.

Bring us the shopping problem, repeated workflow, or AI-channel opportunity. We will help you define the smallest responsible version worth proving.

Discuss an AI opportunity →Explore Shopify services