Salesperson learning from customer engagement with AI-human coach assemblage
(R2023-117227)

AUTHORS

Ozlem OZKOK, Rennes School of Business; Christian Winter, Friedrich-Schiller-Universität Jena; Mehdi Khiari, ZTO Technology; Nicolas Zacharias, Friedrich Schiller University Jena; Laurent Scaringella, Rennes School of Business

ABSTRACT

We aim to better understand how Artificial Intelligence (AI)-human coach assemblage models for salesperson learning works effectively. Our study theorizes that customer engagement behaviors as expression of needs, objections, and questioning during a sales call will impact salesperson learning via AI-human coach assemblage model. We analyze 7206 training interviews of salespeople done via an AI-based expert coaching system coupled with human trainers by multilevel-modeling. Results indicate that on average and overtime salesperson learning trajectory can be positively influenced by interactions with customers’ expression of needs and objections, but negatively influenced by process of customer questioning.