Datacultr’s ML powered platform helps reduce frauds in consumer lending
Datacultr has helped reduce the risk of fraud for some of India’s leading consumer lending companies by a significant percentage. Its first-of-its-kind platform has been a key enabler for these companies by significantly reducing the default rates with the help of Machine Learning.
Datacultr allows vast amounts of data to be handled in a short time, helps to manage both structured and unstructured data, a task that would take too much time for a human to do. Datacultr has helped consumer lending companies in multiple ways:
User Behavior - In today’s world, data holds the ability to define an individual, community and even a country. Every day, users generate tremendous digital information with identifiable patterns on their digital devices. Datacultr leverages this data to chalk out changes in customer behaviour which might hint at a potential fraud.
Actionable Insights - providing actionable insights and setting up triggers that can alert them against potential frauds and asset resale. It allows the lender to block some features of the device user-interface, in case there is continuous delay in payment by the customer.
Educating the borrowers - Datacultr's technology acts as an added incentive for users to repay their loans. It makes borrowers aware that timely repayment helps build their credit score which in turn can get them access to big-ticket size in the future.
Sujoy Ghosh, CTO & Co-founder, Datacultr, said, “We are constantly working towards fraud detection measures in the lending space. In order to stay relevant in an ever-changing financial environment, these companies need to adopt emerging technologies that will not only transform lending but also digitize collection processes to ensure profitability. We are certain that our platform is able to solve some of the pertinent problems plaguing the growth of the industry. This will further ensure financial inclusion of the ‘New-to-credit’ customers in India”.