How to design a custom AI shopping assistant for your brand.
Give a shopping agent a focused role, reliable product information and clear boundaries for customer interactions.
What should your shopping assistant help with?
Choose a focused task such as comparing product sizes, narrowing a gift shortlist or explaining compatibility. Write examples of questions it should answer and questions it should hand to a person. A defined role is easier to test than a general promise to handle everything.
Describe the brand voice in concrete terms. Short, friendly explanations may fit your store better than enthusiastic sales language. Ask the assistant to explain why a suggestion fits the customer’s stated needs, rather than presenting a recommendation without context.
What information does the agent need?
Use dependable product facts, current availability and approved policy information. Decide how those facts are retrieved and what happens when information is missing. An agent should not invent a measurement, restocking date or compatibility claim to keep a conversation moving.
Keep access proportional to the task. Product comparison may require catalogue access without any account or order access. If you add order-related assistance, design the authentication and data boundaries before connecting those tools.
Which actions should require approval?
Distinguish providing information from changing a record. A shopping guide can prepare a shortlist, while discounts, refunds or other business changes require deliberately configured authority. Make the customer’s next action visible and understandable.
For a custom workflow, define who approves important changes and what context they see. External integrations and credentials are part of the project, not details to leave until launch. Keep a straightforward route to human support when the agent cannot resolve a request.
How do you test a shopping agent before launch?
Create examples covering typical questions, vague requests, missing facts and unavailable items. Check that recommendations use the supplied information and that the agent asks for clarification when needed. Include attempts to request information outside its intended role.
Prototype the experience within your storefront, review it on mobile and inspect any connected actions. Markit supports custom storefront development; a shopping agent still needs its own tools, permissions and testing. Start with a narrow useful role and expand from observed customer needs.