利用人工智能优化保修成本

汽车行业正面临保修成本不断上涨的困境，排名前十的汽车制造商平均每年保修支出超过100亿至500亿美元。自动驾驶、电气化和互联等先进技术的引入导致保修索赔激增。软件定义汽车（SDV）的出现带来了新的挑战，因为软件相关问题如今在保修索赔中占据了相当大的比例。.

OEMs face several specific challenges in managing warranties, including:

• Timely processing of unstructured data from multiple sources
• Prioritizing issues based on potential risk of recurrence
• Identifying root causes for issues with multiple symptoms
• Coordinating among various teams to align prioritized actions
• Optimizing operational and accrual costs by minimizing analysis costs and no-trouble-found (NTF) incidents

This whitepaper outlines the need for OEMs to establish new practices to further strengthen warranty management systems, including effective data collection techniques, data management systems, and data-driven decision-making mechanisms.

This white paper is a must-read for anyone interested in understanding the complexities of warranty cost optimization in the automotive industry. Download the complete white paper to gain valuable insights and strategies for effective warranty management.

尼哈尔·萨斯马尔 Chief Architect, Automotive Diagnostics & Aftersales Nihar.Sasmal@kpit.com

Bhavik N. Shah Associate Vice President, Automotive Diagnostics & Aftersales Bhavik.Shah2@kpit.com