Client is an India based, midium sized, loan facilitator company looking to improve operational efficiency and customer engagement.

To create a mobile and web app based integrated system for the customers and operations team to apply, track and manage loan applications end to end.

The company facilitates loan from 50+ different institutions where communication and tracking was majorly email based. Hence, the operational cost to accumulate, create inference and track the end to end lifecycle of a customer was quite high. To minimize the cost and mitigate risk of human error, the company was looking to build a system to automate major workflows and provide customers real time update of their requests.

The system offers automation, convenience and engagement by employing-

• Android and iOS based mobile applications for customers
• AI based automated chatbot to provide first level support to customers without human intervention
• Integration with financial insitutions to receive real time data
• AI based machine learning algorithm implementation to predict success of an application
• Web and mobile based control panel for support executives for 24 hour connectivity with customers

AugmatrixLab helped client to conceptualize, develop and roll out the system including-

• Consultation for process optimization
• Product roadmap, architecture, scalability plan creation
• Tools and technology selection
• System design, development and testing
• Development of Android and iOS applications
• Micro service based backend system creation for scalability
• AI based chatbot creation and supervised training for customer support
• Machine learning algorithm creation and unsupervised machine training for success prediction

• Java 8, Spring, Hibernate , PHP, Python
• Watson AI platform
• Android, iOS
• Oracle

• Hassle free continuous product evolution with help of iterative product backlog management by AugmatrixLab
• Lowest cost of maintenance along with new features addition made possible with scalable and modular architecture implementation
• Increased cutomer retention and engagement due to user behaviour centric system design and optiized performance
• Easy and low cost adaptability to third party integrations, acquired through extendable and scalable design pattern implementation
• Acheived high product quality by employing industry best engineering practices
• Minimum UAT defect was ensured via comprehensive unit testing, regression testing and early feedback process