The Impact of AI-driven Strategy on Salespeople Training and Performance

Abstract

AI-driven strategies are changing training and performance within the ever-changing sales environment. Our quantitatively-based empirical research in Pakistan explores the impact of AI upon salespersons. Data was collected using Simple random sampling from 178 pharma representatives along with managers via email, telephone, and physical questionnaires. SEM-PLS was the analytical instrument we used. The findings provide important new information. Training solutions with AI-driven techniques provide customized instructional methods by evaluating the efficiency information for particular sales representatives. On the basis of one’s abilities and areas for development, particular training materials, programs, and activities are suggested. Sales representatives can quickly adjust approaches with immediate reaction. AI adapts training materials constantly according to achievement, preserving a rigorous and fruitful educational setting. Role-playing exercises are made easier by AI-generated authentic selling situations. Representatives acquire meaningful expertise above typical scenarios by practicing managing difficult clients and negotiating complex scenarios. AI improves creating strategies and making decisions by analyzing sales encounter information. Strategies that work and those that could use better are made clear. Irrespective of staff size, based on artificial intelligence training scalable effortlessly to provide identical standards throughout sales departments. Organizations need to implement these game-changing strategies as AI proceeds to alter sales in order to survive in a cutthroat industry. Lastly, this paper provide practical implications for different stakeholders and future research directions related to this study.