Testing E-commerce AI Agents
Testing an e-commerce agent requires more than just chatting with it. Explore the rigorous evaluation scenarios needed before deploying to production.
Why General Testing Fails E-commerce
E-commerce AI agents handle complex, highly contextual interactions that directly impact revenue. A general "chat test" won't reveal if your agent gives away unapproved discount codes or misrepresents shipping times. You need rigorous, scenario-based testing.
Assay allows you to define specific e-commerce scenarios and automatically run hundreds of simulated conversations against your agent. We score every interaction against your exact Brand Canon, ensuring the agent acts like your best human sales rep.
E-commerce Testing Scenarios
Your evaluation layer must automatically run these scenarios to certify your agent for launch.
WISMO (Where Is My Order)
Can the agent handle frustrated customers asking for order status, maintaining a calm brand tone without overpromising delivery dates?
Multi-Product Comparison
Can the agent accurately compare two products in your catalog without hallucinating features that don't exist?
Cart Abandonment Recovery
Does the agent use the correct promotional logic (approved discounts) to save a cart without violating margin rules?
Return Policy Enforcement
Can the agent politely but firmly enforce return policies (e.g., 30-day limit) without breaking character or angering the user?
Test your e-commerce agent today.
Don't deploy until you've evaluated your agent against the scenarios that actually matter.
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