Multi-Agent Recommendation and Aspect Level Sentiment Analysis in B2B CRM Systems

In today's world of big data, multi-tenant cloud Customer Relationship Management Systems with an ever increasing pressure to customize offerings for each prospect, there is a need for distributed problem solving that can help salespeople win sales using data driven recommendations. With this work we are proposing a Decision Support System constructed as a multi-agent architecture for Business to Business Customer Relationship Management Systems that can guide salespeople during the conversion of a prospect into a client. The implementation and the results using real-world CRM data are presented and discussed in this paper.