Tech Stack
- .Net core
- jQuery
- MySQL
- Power BI
- Python
- ReactJs
About Client
The client, which has its headquarters in the Asia-Pacific area, caters to an underserved demographic that has a limited history of credit risk. The company has operations in more than 40 countries, provides its services to consumers in over 180 countries, and employs roughly 19,800 people across the globe. The customer also obtains additional services, such as microfinancing and business loans secured against real estate.
About Product
By integrating AI technology into its Credit platform, the fintech company plans to increase its footprint in additional areas in the near future. For the purpose of managing the credit platform, our team developed an ML-powered model on alternative data. These machine learning algorithms will determine the customer's eligibility depending on their credit score. Product was designed to facilitate an easier procedure to search instantaneously, compare results, and apply for jobs. The user can browse through several different possibilities and select the one that works best for them.
Unique Chatbot Calculator:
The client wanted to combine calculator and chatbot capabilities in a single function.
Brainers implemented a chatbot with the help of chatterbot which is a python library. This innovative chatbot generates automatic responses for users. Additionally, the ML algorithm improves and evolves responses over time.
Solution
The Challenges
Result
- Faster Response RateThis made user interaction faster and seamless as end user can check the eligibility and get the response for raised queries on immediate basis.
- Track Output Performance:It was difficult for the client to keep a tab on the output performance.
- Accurate Segmentation of CustomersBrainvire successfully categorized the customers based on transaction patterns over time intervals, past loan repayment behaviour, history, etc
- Pattern Tracking of Customer:This made easier tracking system as using algorithm has helped the assessment of the loan applicant and keep a regular track on the dues of the applicant or previous behaviour.