Case Study: How a Major Retailer Reduced Checkout Failures by 95%

Learn how a major retailer used automated testing to reduce checkout failures by 95% and increase conversion rates.

Learn how a major e-commerce retailer used automated testing to dramatically reduce checkout failures and increase conversion rates.

Introduction This case study examines how a major online retailer transformed their checkout reliability through comprehensive automated testing. The results speak for themselves: a 95% reduction in checkout failures and a significant increase in conversion rates. The Challenge The retailer was experiencing significant issues: High checkout failure rates (up to 8% of transactions) Inconsistent payment processing Frequent issues after code

deployments Poor visibility into checkout problems Customer complaints and lost revenue The Solution The retailer implemented CommerceProbe to automate their checkout testing: Created comprehensive test flows for all checkout scenarios Set up scheduled testing every 30 minutes Implemented alerts for immediate notification of failures Integrated testing into their deployment pipeline Implementation Process Phase 1: Assessment (Week 1) Identified

critical checkout flows and failure points: Mapped all checkout paths Documented known issues Prioritized test scenarios Phase 2: Test Creation (Weeks 2-3) Built comprehensive test suite: Created 25+ test flows covering all scenarios Tested all payment methods Included edge cases and error scenarios Phase 3: Automation (Week 4) Set up automated testing: Configured scheduled test runs Set up notification system Integrated with deployment process

Phase 4: Monitoring (Ongoing) Continuous monitoring and improvement: Regular review of test results Refinement of test scenarios Expansion of test coverage Results Checkout Failures Before: 8% failure rate After: 0.4% failure rate Improvement: 95% reduction Revenue Impact Recovered $2.3M in previously lost sales annually Increased conversion rate by 12% Reduced customer support tickets by 40% Operational Benefits Issues detected within minutes