Inventory optimization in the insurance industry: How AI reduces manual effort and creates new opportunities
According to a report from www.crn.de, the Hanover-based insurance companykonzept & marketing (K&M) is planning to introduce an AI-supported inventory optimization service for insurance brokers. This service is designed to enable brokers to scour their customer base more efficiently to identify potential revenue opportunities and reduce manual effort. The introduction of the AI-powered service could have a significant impact on the insurance industry and consumers. By automating and optimizing the customer base, insurance brokers could be able to identify potential cancellations or policy changes early and offer their customers better options. This could have a positive impact on customer satisfaction and at the same time create new revenue opportunities for insurance companies. About it …

Inventory optimization in the insurance industry: How AI reduces manual effort and creates new opportunities
According to a report by www.crn.de, the Hanover-based insurance companykonzept & marketing (K&M) is planning to introduce an AI-supported inventory optimization service for insurance brokers. This service is designed to enable brokers to scour their customer base more efficiently to identify potential revenue opportunities and reduce manual effort.
The introduction of the AI-powered service could have a significant impact on the insurance industry and consumers. By automating and optimizing the customer base, insurance brokers could be able to identify potential cancellations or policy changes early and offer their customers better options. This could have a positive impact on customer satisfaction and at the same time create new revenue opportunities for insurance companies.
Furthermore, the introduction of the AI-powered service could increase the efficiency of insurance brokers by relieving them of manual activities. This could lead to increased productivity and profitability.
However, it is important to note that the quality of data is crucial to the success of an AI project. As mentioned in the article, the data for this pilot was incomplete and of poor quality. Therefore, careful data preparation and involvement of expertise is essential to ensure the adequacy of the AI-powered service.
Overall, the introduction of the AI-powered inventory optimization service could set new standards across the industry and lead the insurance industry to greater automation and efficiency.
Read the source article at www.crn.de