Warranty claims process (product registration, capture, validation, and fraud detection) is slow and a manual process 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
The objectives are an improved customer and dealer experience, faster claims resolution, a decrease in fraudulent claims received and incorrectly paid, and a reduction in warranty costs.
Hardware: Servers, storage, IoT, smartphones, and tablets
Software: Big Data/analytics, cognitive/AI, machine learning, cloud, mobile, CRM, and SLM
Services: 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 helps streamline the process and identify product issues, fraudulent claims, and incomplete claims faster at scale.