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Big data work order
At present, with the rapid development of the insurance industry, the competitive environment and future development pressure faced by insurance companies are very great.

How to gain a faster and stronger insight into customers and design products according to their needs faster? Many insurance companies have been exploring how to better stand out from the competition.

For insurance companies, how to choose the latest insurance technology to comprehensively improve their operational capabilities is also a challenge at present. So we think now is the best time for big data and artificial intelligence to cut into the insurance industry.

From the perspective of insurance business and current situation, there are areas that need to be optimized at the level of consumers, front-line employees and managers:

1.

Poor consumer experience

: manual picking. At present, the task of claim settlement and insurance is still in the task fishing mode of resource pool. There is no automatic bill delivery, and there is a phenomenon of operator picking bills. There will be a task pool in the circulation link of the business system, and the system is unattended.

2.

Poor employee experience

: Cross-system, complicated operation. Claims settlement involves multiple systems, and operators have multiple rights, so they need to switch between multiple systems and multiple browsers when dealing with different tasks.