Insurance companies often have multiple sources of customer data, such as policy applications, claims data, and customer interactions. These data sources may contain incomplete, inconsistent, or duplicate information, making it challenging to have a comprehensive and accurate understanding of each customer.
Understanding legacy claims and general insurance fraud detection.
Matching products with customers and campaign management.
Screening customers against watchlist.
Classification of policies, risk calculations and getting insights in a real-time scenario.
Understanding customer pain points and creating relevant products to personalize the products according to the customer experience.
Verification, compliance checks and matching processes take a long time and are time-consuming steps that need to be automated.
A single view of customer with his network associations can give a complete prospect profiling for Direct Marketing campaigns.
Classification/ segmentation of customers under urban and rural regions for compliance reporting, servicing of policies, etc.
Can be integrated with real-time core business applications that are scalable: Can handle solutions for high volumes of customer data.
Classification of policies can be done using our well-trained ML algorithms that can give insights in a real-time scenario.
One-time bulk de-dupe of entire customer base involving millions of real-time integrations with the existing core business application.
Our automated solutions can cut down on months of verification, compliance checks and matching processes to less than a week.
