AI & Agentic Commerce
Prepare the brand for how people will shop next.
AI shopping should not be another disconnected chatbot. We connect conversational discovery to real catalog, product, inventory, policy, customer, and checkout context so AI can help buyers make useful decisions.
Assess AI-commerce readinessAI guided shopping
Intent → product → cart.
“I need a waterproof jacket under $180 for Iceland, but I do not want something heavy.”
Attributes, inventory, price, policy and cart availability can stay connected.
The shift
Product discovery is becoming conversational.
A buyer may describe a need, ask an AI assistant to compare options, or expect a guided recommendation instead of navigating filters manually. The quality of that experience depends on the quality and accessibility of the commerce data underneath it.
AI Guided Shopping
Connect conversational product discovery to real catalog, availability, pricing, policy, comparison, cart, and checkout context.
Agentic Commerce Readiness
Prepare product data, policies, APIs, inventory, and commerce actions so AI agents can understand and interact with the brand reliably.
AI Search & Product Discovery
Improve zero-result search, natural-language discovery, semantic matching, synonyms, recommendations, and intent understanding.
Catalog Intelligence
Use AI to identify missing attributes, bad titles, duplicates, taxonomy issues, feed problems, and discovery gaps across large catalogs.
Commerce Decision Assistance
Bring margins, returns, acquisition, inventory, and operational signals together so teams can review recommendations before execution.
AI Guided Shopping
Let customers describe the outcome they want — not the keyword they hope your store understands.
Customer asks
“I need a waterproof jacket under $180 for Iceland in November, but I do not want something heavy.”
A connected AI experience can
Understand intent and constraints.
Compare relevant products using real attributes and inventory.
Explain trade-offs instead of dumping a product list.
Respect price, availability, shipping, and policy context.
Hand the customer into cart or checkout when appropriate.
Agentic Commerce Readiness
Before exposing commerce to AI agents, make the underlying data and actions trustworthy.
Product data
Can an AI system understand what the product is, who it is for, its attributes, variants, compatibility, and differences?
Availability & price
Can inventory and pricing be trusted in real time across the channels and systems that expose them?
Policies
Are shipping, returns, warranties, subscriptions, and other commercial rules clear enough for an AI experience to use safely?
Search & discovery
Can customers describe intent naturally instead of guessing the exact keyword used in the catalog?
Actions
Can the commerce stack safely expose cart, checkout, order, customer, or post-purchase actions where appropriate?
Governance
Which AI actions can run automatically, and which require explicit approval or customer confirmation?
Catalog Intelligence
AI discovery is only as good as the product data underneath it.
Missing attributes, inconsistent variants, duplicate products, weak taxonomy, poor titles, and bad feed data make both human and AI discovery worse. We can design controlled enrichment workflows that identify gaps and prepare corrections at catalog scale.
Governance
Useful AI does not mean uncontrolled AI.
Recommendations, search, guided shopping, and low-risk workflow assistance can move quickly. Sensitive actions such as price changes, refunds, procurement commitments, or customer compensation can remain explicit and reviewable.
Recommend
AI gathers context and explains the suggested action.
Review
Your team sees why the action was proposed and can modify it.
Approve
High-impact actions stay under human control.
Execute
Approved or low-risk actions flow into the commerce systems.
Do not add AI to the store. Make the commerce system AI-ready.
Start with catalog quality, discovery, system access, policies, and governance. Then decide which AI experiences are actually useful to customers and operations.
Assess AI-commerce readiness