Artificial Intelligence and the Sales Process: How to Help Sales Students Develop an Analytics Skill Set

Michael Rodriguez, Stefanie L. Boyer

Abstract


The following learning protocol provides an opportunity for professors to help students apply artificial intelligence and analytics in a pipeline management exercise. The activity allows advanced sales students to build a predictive sales model in Salesforce.com’s Einstein Analytics Platform. The following innovation walks the educator through the process of accessing the platform, building a model and analyzing outcomes. The exercise provides the opportunity to improve outcomes and act on sales opportunities, simulating the work environment. The article provides teaching tips for success to help professors stay current in the digital age and prepare students for early career success.

Full Text:

PDF


DOI: https://doi.org/10.22158/grhe.v3n1p54

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Michael Rodriguez, Stefanie L. Boyer

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © SCHOLINK INC.   ISSN 2576-196X (Print)    ISSN 2576-1951 (Online)