Description
Cost analysis for after-sales service uses machine learning models to estimate the cost-effectiveness of providing various levels of post-purchase support. By analyzing historical cost data, service records, and customer feedback, AI can identify areas where costs can be reduced without compromising service quality. This enables companies to allocate resources more efficiently, design better service packages, and improve profit margins.
