Put predictive analytics into action to improve insights into warranty claims and part failures. Experience the adaptable analytics that can anticipate failures, reduce warranty costs, and enhance customer loyalty.
Warranty is a universal challenge for many Original Equipment Manufacturers (OEMs) worldwide and interventions in warranty have not yielded expected outcomes in the recent times due to major complaints and issues faced by customers. Due to lack of good warranty analytics framework and models, companies are losing their brand value, making losses and eroding market value in the stock market.
Early Defect Detection Drives Huge Impacts
The longer the manufacturer waits to pull the trigger on a recall, the more expensive it gets. Thus the early detection of problems is a major focus of warranty and service analytics. It can help in early prediction, prevention and minimize the impact of product recalls.
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Predictive Maintenance can occur during two different phases in the lifecycle of a vehicle - while it is being made and when it is out in the field. While the vehicle is still in the factory, predictive analytics helps identifying the in-line defects and correct them before the vehicle is delivered to the customer. It provides information about the defects to engineers who can fix the processes that caused the defects. For the effective performance and calibration of parts/ or products, we need effective systems which can give insights to the stakeholders. With a view to strengthen the performance and calibration of parts right from the assembly line through the life of the product, we need a good ecosystem to capture and analyze the data on routine and regular basis.