Research on Business Process Optimization Model of Customer Service Center of Power Enterprises Based on Deep Learning

This paper proposes a business process optimization model of customer service center of power enterprises based on deep learning, focusing on the development and application of automatic order extraction algorithm. The model aims to realize the automatic processing of omni-channel customer service data to meet the needs of balanced proportion of work orders in various provinces of business types and balanced work orders of the entire staff. Through the construction of DNN model, combined with CNN and LSTM technology, this paper realizes the automatic processing of customer service call content and the recognition of customer emotions. Experimental results show that the application of this model on actual data sets can significantly improve the quality inspection efficiency and accuracy of customer service center of power enterprises, promote the intelligent transformation of customer service business, and provide power enterprises with efficient and accurate business monitoring and decision support tools.