E-commerce AI Agent Testing — 150 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 scenariosconsult then implement
12 scenariosde escalation
10 scenariosdiagnose then fix
12 scenariosedge case
10 scenariosfraud
30 scenariosmulti step resolution
10 scenariosorder operations
10 scenariospolicy and knowledge
10 scenariospre purchase advisory
8 scenariosreporting and system
6 scenariosreturns and exchanges
10 scenariossubscription management
10 scenariosExample Scenario
Customer received a return label, is attempting to use it to ship an unrelated item (not the original purchase) to commit mail fraud.
Coverage Stats
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