Team Augmentation Partner for India’s Largest Loan and Credit Cards Marketplace

Team Daffodil performed an application analysis to understand the performance gaps and how they can be improved. For this, it coordinated with the in-house team of the client for the technical and functional requirements for development. 

While working with Daffodil, the loan and credit card marketplace had the advantage of augmenting their team size with more tech resources (at any point in time). A scrum, on daily basis, was aligned to ensure that the requirements, stage of development, and application performance is communicated between both ends.

To work on the speed of the application pages, certain capabilities were introduced to perform backend abilities on the frontend. For example, workflows for different modules were created that helped to create dynamic fields. Such practices not only help to improve the speed of the workflow cycle but also help in code maintainability.

For the document collection system, which was affected by the pandemic, a JSON-based dynamic UI creation was done. The entire UI was maintained through a JSON file that takes care of the document format, size, or which document should be followed by an upload. 

Similarly, for the credit card module, team Daffodil helped to revamp the journeys with the bank. For this, page-level frontend optimization was done. The ReactJS developers managed a JSON file for every bank, ensuring that an automated workflow is created to complete the consumer-bank journey to a credit card.

For digital lending services, team Daffodil worked on improving the scalability of the module. The lending services module was built on microservices architecture. For every partner, a design pattern was created to ensure that for modifying or scaling a partner service, the work doesn’t need to be done from scratch. Since every service used APIs, different folders with naming conventions were created and APIs were stored on it. That way, a standard pattern was followed by every partner, which encouraged code reusability and readability. 

Moreover, resources were aligned to work on the Android and iOS app home page. Which products should be showcased, what offers should be visible to the consumer (based on their credit score), and how a customer’s credit score can be improved (credit assist). For this, Native application languages (Objective C, Swift, Kotlin, Java) and React Native were used in the apps.  

Likewise, continuous updations are brought to different modules within the digital platform for improved performance of the application. For all the modules, the updations were made to manage the frontend, without having to make changes in the codebase. This accelerated the speed and frequency to launch the revised edition of the app into the market.