With the expansion of enterprise scale and business growth, the volume of customer service calls and the number of business ticket order templates have expanded rapidly. The high labor costs brought by the traditional manual order making method have overwhelmed enterprises. In order to improve the efficiency of enterprise customer service order making, this paper proposes a multi-level business ticket generation method. This method achieves efficient identification of unbalanced ticket types by cascading multiple CNN classifiers, thereby completing business ticket order generation. Experiments show that the method proposed in this article is effective.

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Research on Intelligent Generation Technology of Business Ticket Orders

  • Yongbin Yu,
  • Shu Wang,
  • Jiaqi Shi,
  • Wei Yu,
  • Longzhu Zhu

摘要

With the expansion of enterprise scale and business growth, the volume of customer service calls and the number of business ticket order templates have expanded rapidly. The high labor costs brought by the traditional manual order making method have overwhelmed enterprises. In order to improve the efficiency of enterprise customer service order making, this paper proposes a multi-level business ticket generation method. This method achieves efficient identification of unbalanced ticket types by cascading multiple CNN classifiers, thereby completing business ticket order generation. Experiments show that the method proposed in this article is effective.