The invention provides a dynamic short message pricing method based on customer behavior characteristics, belongs to the technical field of short message pricing, and also relates to the technical field of communication service pricing. According to the method,
client short message sending behavior data is collected in real time, behavior characteristics are analyzed by using a
machine learning
algorithm, and an optimal charging scheme is automatically matched based on a multi-dimensional tiered pricing model, so that the problems that the existing fixed rate or simple grading pricing cannot adapt to the actual sending behavior of a
client, the
resource distribution is unreasonable and a behavior incentive mechanism is lacked are solved; dynamic pricing, optimized resource configuration and win-win of customers and service providers are realized. Therefore, accurate matching of pricing and actual sending behaviors of clients is realized, network
resource allocation is optimized, the clients are stimulated to standardize the sending behaviors, and the
client experience and the
service provider operation benefits are improved.