Scaling Customer Experience using Generative AI Chatbot for Major Manufacturing Company
Business Problem
Goal: The goal of this client is to increase the quality and speed of software testing and development in the digital banking system through the implementation of SDET and automation engineering.
The client in this case study is a reputed banking organization, which was facing challenges related to their digital banking system. The bank's existing digital banking platform was not meeting customer expectations, which was resulting in customer dissatisfaction and declining sales. The bank needed to improve the performance, stability, and functionality of their digital banking platform to enhance the customer experience and remain competitive in the market. The bank also needed to ensure that their digital banking system was secure, reliable, and met regulatory compliance requirements. The bank needed to find a solution that could improve the efficiency of their digital banking system and reduce manual effort and human errors while ensuring high-quality services to their customers.
The business problem in this case study is to enhance the existing banking application to improve digital transactions for customers by addressing its limitations such as a complex user interface, limited functionality, inadequate security, limited accessibility, and slow performance. The goal is to create a better banking app that is easy to navigate, has more features, improves security, is accessible to all customers and have faster performance.
Business Solution
The business solution in this case study is to expand the digital platform by adding new features to the existing web application, creating a new mobile app, and developing new web services to improve the customers' banking experience by making it easy, hassle-free, and rich with features.
This includes creating a more user-friendly interface, adding new digital transaction options, incorporating advanced security features, developing mobile app that is optimized for mobile devices, creating APIs and implementing new technologies to improve scalability and security, improved user experience, and providing training and support to customers and employees.
Technical Solution
In this case study, Pronix implemented a technical solution to improve the Quality Assurance and testing process for a major banking client. The following steps were taken:
The Pronix team performed a detailed analysis of the client's current testing process and identified the key areas that required improvement. This analysis included a review of the client's existing test scripts, test data, and test environments.
The team then developed a custom framework for automating the testing process using Selenium, Cucumber, and Java. The framework was designed to be highly scalable, allowing the client to perform a large number of automated tests quickly and efficiently.
The team also implemented Continuous Integration and Continuous Deployment (CI/CD) processes to automate the build, test, and deployment phases of the software development life cycle. This helped to reduce the time required to release new software features and ensured that the testing process was integrated with the development process.
The team implemented API testing using RestAssured to test the application programming interfaces (APIs) of the client's digital banking system. This ensured that the APIs were functioning correctly and that any changes to the system did not impact their performance.
The team also implemented performance testing using Apache JMeter to test the application's performance under high load conditions. This ensured that the system could handle the expected number of concurrent users without any performance issues.
The team used TestNG and Extent Reports for test reporting, which allowed the client to easily monitor the progress of the testing process and view the results of the tests.
Overall, Pronix's technical solution helped the client improve their testing process, increase efficiency and accuracy, and reduce the time and cost of testing. The implementation of automated testing, CI/CD processes, API testing, and performance testing helped the client achieve faster and more reliable software releases.
Technologies Used
The technical solution for this case study involves the use of several different technologies to create a scalable, flexible, and extensible test architecture. Java, Selenium WebDriver, TestNg, Maven, Putty, Eclipse, CURL, Postman, Restful Webservices, Perfecto Web and Mobile, and Selenium Grid are the technologies that are going to be used to implement this solution.
Java will be used to write the test scripts, Selenium WebDriver will be used to automate web browsers and test web applications, TestNg will be used to manage and execute test cases, Maven will be used to manage the project's dependencies and automate the build process, and Putty will be used to connect to remote servers. Eclipse will be used as the integrated development environment for writing and managing test scripts, CURL will be used to send HTTP requests and receive responses from web services, Postman will be used to test web services, Restful Webservices will be used to create web services, Perfecto Web and Mobile will be used to test mobile applications, and Selenium Grid will be used to run tests in parallel on multiple machines.
Customer Success Outcomes:
Improved Efficiency: The automation of the manual testing process resulted in a significant increase in testing efficiency. The test execution time was reduced by 50%, and the overall test cycle time was reduced by 30%.
Increased Test Coverage: The automation of the testing process enabled the client to test a larger number of scenarios and perform more comprehensive testing. The automation scripts covered more than 90% of the application's functionality.
Reduction in Time to Market: The increased testing efficiency and coverage resulted in faster testing cycles, which led to a reduction in the time to market for new features and functionality. The client was able to release new features to production faster, reducing the time required to respond to changing market conditions and customer needs.
Cost Savings: The automation of the testing process resulted in significant cost savings for the client. The reduction in manual testing efforts and faster testing cycles resulted in a reduction in the overall testing cost by 40%.
Improved Quality: The automation of the testing process improved the overall quality of the client's software. The automated testing process was more accurate and consistent, resulting in fewer defects and a better customer experience.
Overall, the SDET QA Automation Engineering project helped the client to improve the efficiency, speed, quality, and cost-effectiveness of their software testing process, enabling them to respond faster to changing market conditions and customer needs.
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