Revolutionize Retail testing and cut costs by 90% with our AI-led test automation Framework

DCqaf or Digital Commerce Quality Automation Framework, affectionately pronounced as decaf is built to empower retailers' end-to- end retail landscape which includes front-end, back-end of eCommerce applications. Powered by artificial intelligence and machine learning components, DCqaf aids organizations perform test automation right from the start of the development cycle, adding more power to Agile and DevOps driven retail environments.  

Highlights

Robust and comprehensive framework

Robust and comprehensive framework

AI/ML capabilities can help you find and repair your defects in record time

AI/ML capabilities can help you find and repair your defects in record time

Automates testing of   E-Commerce, M-Commerce and API-enabled applications

Automates testing of E-Commerce, M-Commerce and API-enabled applications

Enables testing across multiple environments

Enables testing across multiple environments

Supports quick and easy script modifications

Supports quick and easy script modifications

In-built arsenal of powerful automation tools like Jenkins, TestComplete, TestLink, etc.

In-built arsenal of powerful automation tools like Jenkins, TestComplete, TestLink, etc.

Allows integration with third-party tools

Allows integration with third-party tools

Success Story

Scalable Test Automation using our AI-led DCqaf framework for a leading US plus-size Fashion Retailer

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 

How can Retailers benefit from an end-to-end Test Automation framework?

AI-ML enabled

AI-ML enabled

Smart Test Automation, predictive analysis, big data testing, improved stability of test scripts and self-healing capabilities provide forward-looking approach

Faster time to market

Faster time to market

Up to 90% reduction in regression cycle time

Lower TCO, Higher ROI

Lower TCO, Higher ROI

Enables repeatability and reusability, yields 30% greater returns on Test Automation

Unified approach

Unified approach

Unify E-Commerce, M-Commerce and API-enabled applications testing in one fabric

Lower costs

Lower costs

Achieve up to 90% minimized testing costs due to increased flexibility

Plug and play

Plug and play

Pre-packaged end-to-end Test Automation suite for entire retail landscape

Low maintenance

Low maintenance

Minimal team required for maintenance, slashing costs significantly

Top talent

Top talent

Highly skilled QA Automation specialists with expertise in Retail

Multi-Browser

Multi-Browser, Device & OS Compatibility

Flexibility to test across platforms ensures seamless user experience

Easy multi-platform integration

Easy multi-platform integration

Smooth integration of third-party tools such as SauceLabs, LambdaTest for thorough testing process

Software Testing Capabilities

AI-led Test Automation

AI-led Test Automation

 
Software Testing Services

Software Testing Services

 
Automated Retail Testing

Automated Retail Testing

 
Performance Testing

Performance Testing

 
Managed Testing Services

Managed Testing Services

 

Why Choose Aspire's QA Testing Services?

$30M

saved by organizations after adopting Aspire's Test Strategy and Tools

1M

bugs reported from different types of testing

950

testing members including program managers, solution architect, SDETs and Analysts

60+

innovative tools and technologies implemented for faster and quality delivery

6

development hubs across the globe

Trusted by Today's Top Brands

Customer Testimonial

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