Our client used linear automation testing which was not scalable. Data loss became a common occurrence due to daily data repetition. Our AI-ML powered DCqaf testing framework was implemented to support parallel execution in multiple environments without additional cost. Using DCqaf automation framework,
- 30% of the automation efforts were saved
- Test duration was brought down from 50 person days to 18 person days
- 25% of the bugs were identified at an early stage as scripting
- Projected cost savings of $150,000 for 1 year with 24 sprint cycles for 1 site
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Scalable Test Automation using our AI-led DCqaf framework for a leading US plus-size Fashion Retailer
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