Warranty claims process (product registration, capture, validation, fraud detection) is slow and involves manual processes from the dealer or customer to the OEM. This process leads to delayed resolution, frustrated customers, fraud, and overdue product innovation as defects and product failures aren’t identified early.
Goals and Objectives
Improved customer and dealer experience, faster claims resolution, decrease in fraudulent claims received and incorrectly paid, and reduction in warranty costs
Hardware: Servers, storage, IoT, smartphones, and tablets
Software: Big Data/analytics, cognitive/AI, machine learning, cloud, mobile, CRM, and SLM
Service: Business services and IT services
Use Case Summary
Incorporating automation in the warranty claims management process with the use of artificial intelligence and machine learning to streamline the process and identify product issues, fraudulent claims, and incomplete claims faster at scale