The client faced substantial challenges related to inefficient warranty management and the lack of a robust system to predict potential vehicle issues. Growing warranty claims due to field issues negatively impacted the automotive manufacturer’s business and profits.
AI /ML and analytics
Real-time predictive analytics
Microservices architecture
Sensors
Data storage and pre-processing tools
Automotive businesses today are under constant pressure to increase after-sales margins amid rising repair, parts, and operational costs. When it comes to warranty management – multiple stakeholders, increasingly complex warranty terms based on diverse brand dealers, models, and regions, legacy systems, and manually-intensive operations only contribute to higher errors, turnaround times, and customer dissatisfaction rates. The difficulties only grow further in the face of escalating global competition and pressure on profit margins, fraudulent claims, and customer dissatisfaction due to slow warranty claim processing, leading to dipping sales conversion and revenue.
Traditional warranty management systems are often reactive, addressing issues only after they have occurred, which leads to increased claims, costly repairs, brand reputation risks, and financial losses. Modern automobile manufacturers are turning to technology and data-driven solutions such as AI, ML, and predictive analytics to make warranty management proactive, allowing car makers to detect potential problems early, improve vehicle reliability, and reduce overall warranty claims.
Our client, a renowned automotive OEM with a significant market share in luxury vehicle sales, was experiencing a surge in warranty claims due to field failures. Recurrent failures in cars with high-end features and comfort meant huge losses and reputational damage. Moreover, they faced difficulties predicting issues and taking corrective measures on time. They looked forward to implementing a proactive solution that could anticipate potential vehicle breakdowns and equipment failures, which would enable them to resolve the above-mentioned issues and prevent costly warranty claims.
Our experts thoroughly analyzed the client’s organizational and process landscape and found the absence of an advanced digital solution to track and manage warranty claims as the root cause. SDS’ comprehensive AI-driven warranty management solution was the key to transform the client’s reactive warranty management and maintenance ecosystem into a predictive and intuitive one. The solution was ideated, designed, and developed in a phase-wise manner. We also integrated AI, ML and advanced analytics into their processes enabling the client to adopt the following measures:
Our comprehensive AI-driven warranty management solution, enabled the client to transcend beyond reactive to a proactive approach in warranty processing. We not only empowered the client to resolve ongoing challenges but optimize their operations, reduce costs and enhance vehicle reliability as well. They were also able to create a data-driven ecosystem – averting unforeseen failures, outages or disruptions well ahead of time.
Achieved a 7% decrease in annual warranty costs
Reduced operational and repair overruns by predicting field failures 2 months in advance
Minimized vehicle breakdowns with AI/ML-driven predictive maintenance
Enhanced predictive accuracy of ML model through continuous improvement
Robust accommodation of growing data volumes through a future-proof and scalable solution
Higher customer satisfaction rates
As a strategic partner, Bosch SDS brought its extensive industry expertise, deep understanding, and technical capabilities to implement innovative AI and ML solutions, and a data-driven approach to help the client address their unique warranty management challenges. Stitching data machinery, advanced technologies, and process management techniques together — we were able to help the client realize enhanced operational efficiency, resource allocation, and financial gains — minimizing downtime, disruptions, and incident frequency. Streamlining warranty claims had a direct, positive impact on their bottom line, driving higher customer satisfaction, brand reputation, and revenue potential.
