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E-commerce AI Agent Testing150 Scenarios

Test AI agents handling returns, fraud detection, order tracking, subscription management, shipping disputes, payment failures, and adversarial attacks like wardrobing and chargeback fraud.

AI agents in the e-commerceindustry handle some of the most consequential conversations in business. A wrong answer doesn't just frustrate a user — it can trigger compliance violations, financial losses, legal liability, or irreversible damage to customer relationships. Testing these agents with generic prompts misses the edge cases that matter most.

Agent Scrimmage evaluates e-commerce AI agents with scenarios grounded in real industry workflows, real regulations, and real failure patterns. Every scenario includes specific success criteria and failure indicators so scoring is objective, not subjective. The scenarios cover routine tasks, complex multi-step workflows, compliance-sensitive situations, and adversarial attempts to manipulate the agent.

Whether you're building a customer-facing chatbot, an internal workflow agent, or a hybrid that does both, Agent Scrimmage tells you exactly where it breaks — and generates the training assets to fix it.

What We Test in E-commerce

complex advisory

12 scenarios

consult then implement

12 scenarios

de escalation

10 scenarios

diagnose then fix

12 scenarios

edge case

10 scenarios

fraud

30 scenarios

multi step resolution

10 scenarios

order operations

10 scenarios

policy and knowledge

10 scenarios

pre purchase advisory

8 scenarios

reporting and system

6 scenarios

returns and exchanges

10 scenarios

subscription management

10 scenarios

Example Scenario

Return Label Reselling - Customer Trying to Use Return for Shippinghard

Customer received a return label, is attempting to use it to ship an unrelated item (not the original purchase) to commit mail fraud.

Subcategory: fraud

Coverage Stats

150
Total Scenarios
13
Subcategories
46
Hard Scenarios
37
Adversarial

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