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An AI shopping agent is an AI system that uses tools and product information to help a shopper complete a buying task.
It can ask follow-up questions, compare products against specific requirements, and revise a shortlist as those requirements change. Some agents also prepare carts or complete purchases through supported merchant integrations and user permissions.
AI shopping agent examples
Shoppers can use a consumer-facing assistant such as ChatGPT directly. Retailers can deploy a solution such as Constructor in their own store. The examples below explain who uses each product and where the shopping conversation happens.
For shoppers: ChatGPT shopping research
A shopper uses shopping research in ChatGPT to clarify requirements, research online product information, and build a buying guide. It suits comparisons across sellers or unfamiliar product categories, with retailer links providing the next step.
For retailers: Constructor AI Shopping Agent
A retailer deploys Constructor's AI Shopping Agent to help customers discover products from its catalogue through natural-language questions. The shopper encounters it within a store that uses the solution; the retailer chooses and integrates the software.
| Audience and use | ChatGPT shopping research | Constructor AI Shopping Agent |
|---|---|---|
| Who chooses or deploys it? | A shopper chooses to use ChatGPT. | A retailer selects and deploys the solution. |
| Where does the shopper use it? | In ChatGPT. | Within a retailer's shopping experience. |
| Where it searches | Online sources across merchants. | A retailer's catalogue and product context. |
| Useful task | Research unfamiliar products and compare trade-offs. | Find suitable products within the store. |
A shopping agent example
Illustrative task: a shopper asks, “Find wireless headphones under $200 for a ten-hour flight. Comfort matters more than sound quality, and I need them before Friday.”
The agent first asks where the order must be delivered and whether the shopper prefers over-ear headphones or earbuds. It searches supported sources, compares battery life, weight, noise cancellation, and delivery estimates, and explains why each shortlisted option fits—or misses—a requirement.
If the available listings do not confirm delivery by Friday, the agent says so rather than treating an estimated date as a promise. It can then send the shopper to the merchant or prepare a cart if supported. The shopper checks the final variant, total price, and delivery terms before approving a purchase.
AI shopping agent vs chatbot vs recommendation engine
These labels overlap, but they are not interchangeable. A chatbot is software that conducts an automated conversation through a chat interface. A human representative can use the same interface without being a chatbot. An agent uses tools to advance a shopping goal. A recommendation engine ranks items and can be one component of an agent.
| Dimension | AI shopping agent | Chatbot | Recommendation engine |
|---|---|---|---|
| Main purpose | Advance a shopping task. | Respond in conversation. | Rank and suggest products. |
| How it works | Uses tools to search, compare, and take permitted actions. | Uses scripted rules or AI to answer messages. | Uses product and customer signals to rank options. |
| How they connect | Can include chat and recommendation components. | Can serve as an agent’s conversational interface. | Can supply an agent’s product shortlist. |
Types of AI shopping agents
Shopping agents differ along two separate dimensions: where they search and what they are allowed to do. A retailer-specific agent can have purchase capabilities, while a cross-merchant agent can remain research-only.
Retailer or storefront agents
These agents work with a particular retailer's catalogue, product content, and policies. The retailer's store defines the search scope.
Cross-merchant shopping agents
These agents research products or offers from multiple merchants or websites. Their accessible sources and integrations define the search scope.
Research, assisted action, or delegated purchasing
A research agent produces a shortlist. An assisted-action agent prepares a cart or merchant handoff. A purchasing agent can submit an approved action within defined limits. Agentic commerce explains the broader relationship between decisions, actions, and delegated authority.
How AON supports AI shopping agents
A shopping agent needs both product information and somewhere to send the shopper. AON helps the app find relevant commercial offers and track referrals to merchants.
The app builds the shortlist and explains its recommendations. When the shopper chooses an offer, they can continue to the merchant to complete the purchase.
See the AON Offer Query contractCommon questions about AI shopping agent
Is a shopping chatbot the same as an AI shopping agent?
Not necessarily. A chatbot is software that conducts an automated conversation; human-staffed live chat is a different service. An AI shopping agent uses tools and data to advance a shopping goal within its permissions. A chatbot can also function as an agent when it does that work. A recommendation engine can supply the shortlist without being either one.
Can an AI shopping agent buy products automatically?
Some can, but only when their integrations support purchases and the user grants the required authority. Many shopping agents stop at research, comparison, or a merchant handoff. Check spending limits, confirmation controls, and the supported merchants before enabling purchase actions.
How does an AI shopping agent compare prices?
It compares listings from the sources it can access. A useful comparison matches the same product variant and includes shipping, taxes, and available discounts where known. Checking the merchant’s current total helps the shopper make the final choice.
Sources
- OpenAI: Introducing shopping research in ChatGPTOriginal publication
- Constructor AI Shopping AgentIndustry source
- AON Offer Query APIAON documentation