Case Study
Case Study: Smooth Onboarding with Multiple Validations Using Automation Testing Scripts
Client: Laws of Motion
Problem Statement:
Laws of Motion, a leading e-commerce fashion brand, aims to minimize return rates by ensuring that AI-powered body measurement algorithms deliver accurate sizing recommendations.
When onboarding an e-commerce partner, it is crucial to verify that the ML/AI algorithm produces correct outputs based on the partner’s specific body measurement charts. To achieve this, multiple body parameters need to be validated across approximately 1000 model body measurement records.
Challenges:
- Manual testing for 1000 records requires 20-30 hours, making it inefficient.
- The process is repetitive, error-prone, and tedious for QA teams.
- Ensuring correctness is essential to prevent incorrect sizing recommendations, which can lead to high return rates and customer dissatisfaction.
Our Solution: Automated UI Functional Testing
To address this challenge, Laws of Motion developed an in-house automation script leveraging Playwright to execute UI functional tests efficiently.
How It Works:
Input Data Preparation: We collect all required parameters in an Excel sheet, including the expected AI-generated output.
Automation Execution: The script simulates an end user visiting the website 1000 times, validating the AI recommendations against expected results.
Error Handling & Reporting: The process eliminates manual intervention, reducing human errors.
Results are compiled into an Allure report, or a custom-designed report can be generated and sent via email.
Continuous Testing:
The automation isn’t limited to partner onboarding—it can be executed after every deployment.
Option to schedule tests daily for continuous monitoring, ensuring peace of mind. 😃
Key Benefits:
✅ Time-Saving – Reduces testing from 30 hours to just minutes. ✅ Accuracy & Reliability – Eliminates human error in data verification. ✅ Scalability – Works seamlessly across multiple partners. ✅ Continuous Monitoring – Ensures quality with every deployment, reducing return rates and improving customer satisfaction.
By implementing this automated testing framework, Laws of Motion has streamlined partner onboarding, enhanced AI accuracy, and reduced the risk of incorrect sizing recommendations—ultimately driving down return rates and increasing customer confidence.
Future Scope:
Further enhancing automation to handle real-time API validations.
Expanding coverage to test various fabrics and fit preferences.
AI-powered analysis of customer feedback on fit to refine recommendations.
Laws of Motion continues to innovate in fashion e-commerce, ensuring a seamless and accurate shopping experience for every customer. 🚀
