CRM Sales Prediction Using Continuous Time-Evolving Classification


  • Mohamoud Ali University of Missouri - Kansas City
  • Yugyung Lee University of Missouri - Kansas City



Automotive CRM, Predictive CRM, Predictive Analytics, Machine Learning, Sales Prediction


Customer Relationship Management (CRM) systems play an important role in helping companies identify and keep sales and service prospects. CRM service providers offer a range of tools and techniques that will help find, sell to and keep customers. To be effective, CRM users usually require extensive training. Predictive CRM using machine learning expands the capabilities of traditional CRM through the provision of predictive insights for CRM users by combining internal and external data. In this paper, we will explore a novel idea of computationally learning salesmanship, its patterns and success factors to drive industry intuitions for a more predictable road to a vehicle sale. The newly discovered patterns and insights are used to act as a virtual guide or trainer for the general CRM user population.




How to Cite

Ali, M., & Lee, Y. (2018). CRM Sales Prediction Using Continuous Time-Evolving Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1).