Intelligent collection uses AI algorithms to empower the collection industry. While realizing high-frequency case opening, it also automatically collects customer characteristic information. The data center conducts customer portraits based on the basic information of the case, user characteristics and other information. Analyze and output real-time case maps and case scores. Then, the decision-making center module allocates high-scoring cases to agents through algorithm strategies and other technologies, so agents can carry out in-depth communication with high-value customers in a targeted manner to promote repayment.

Intelligent debt collection has many significant advantages over traditional debt collection. Let’s briefly talk about it, taking the Taiyue Xiaoji smart debt collection system as an example.

First of all, intelligent collection uses artificial intelligence and big data technology to conduct comprehensive and in-depth risk assessment and analysis of collection objects; NLP speech recognition technology will greatly reduce the cost of manual outbound calls and intelligently divide cases , realize human-machine collaboration, and focus on following up on high-quality customers.

This can not only significantly reduce collection costs, but also greatly improve collection efficiency.

Secondly, intelligent collection can also realize legal and compliance operations throughout the entire process.

The traditional collection model often has problems such as accidental damage and missed collections. Because this model is based on manual judgment and experience accumulation, it inevitably has a certain degree of subjectivity and one-sidedness.

However, through data analysis and model prediction and other technologies, intelligent collection can more accurately judge the debtor's willingness and ability to repay,

thereby formulating a A more reasonable and accurate collection plan.

Third, intelligent collection can also realize real-time monitoring and quality control of communication with customers. Through AI algorithms, data reports can be generated to clearly and intuitively understand the status of cases, while helping to improve customer satisfaction and reputation. .

The intelligent collection platform can be personalized and expanded according to business needs and customer characteristics to adapt to the needs of different industries and user groups.

Intelligent collection has shown obvious advantages in improving collection efficiency, reducing costs, achieving precise collection, and improving payment collection effects.

It has become an important trend in current corporate collection management.