USE CASES
CREDIT SCORING & FRAUD
Fraud and credit risk are critical challenges, particularly in financial services, that can be effectively addressed through machine learning. Our company specializes in developing interpretable machine learning models, including credit scorecards and fraud detection systems, to enhance decision-making and risk management.
STREAMLINING THE CLAIM PROCESS; A SHORT-TERM INSURANCE USE-CASE
At the claim stage, most short-term insurers treat all customers uniformly. We advocate using data to segment customers, distinguishing those whose claims require scrutiny from those whose claims can be streamlined. This approach can enhance customer satisfaction and retention, especially among top-tier customers.
IDENTIFY HIGH LOSS PARTS CLAIMS; AN AUTOMOTIVE INDUSTRY USE-CASE
When a new vehicle enters the market, some components may pose a higher risk of driving up claim ratios for the aftersales motor warranty fund. Optimized Analytics develops predictive models to identify these high-risk components, helping mitigate potential impacts on the fund.