Over the years of building applications for financial institutions big and small, we’ve noticed patterns in the solutions we’ve built. Most models are either to increase existing revenue, prevent loss of revenue or create new paths for revenue. Given the fact that Finance is one of the more forward-thinking verticals, we’ve had the pleasure of building applications, both data science-based and otherwise, that have done all three in various forms.
Cross Sell and Up Sell
Are you leaving money on the table when addressing the needs of your customers? Our Classification and Segmentation algorithms can help you exponentially increase your cross sell/up sell opportunities to existing customers.
Unsure of which leads to go after? Ideas2IT’s Funnel Optimization algorithms can help sift through the numerous leads that clog your sales effort and prioritize the ones most likely to give you maximum revenues.
Socially Enhanced Credit Scoring
Ideas2IT’s Social Scoring algorithms can help identify a bigger pool of customers. Our algorithms enhance traditional Credit Scores by tracking social media patterns, and reduce ambiguity on borderline cases. This helps increase loan acceptance rates, while still keeping delinquencies down.
Our expertise in building one of the first fraud detection algorithms in the industry, widely deployed in multiple US states will help you battle the ever-increasing fraud in the industry. Identify fraudulent transactions in real time, insider-trading patterns and much more.
From origination to portfolio management, financial institutions are using bots for automation. We build chatbots that come with pre-built models for finance, from loan underwriting to financial modelling and personalized customer service.