Skip to main content


A Study on Evaluating the Impact of AI-Driven Training & Development on Sales Performance

Issue Abstract

Abstract
This study focuses on evaluating how Artificial Intelligence (AI)–driven training and development programs influence the sales performance of employees at the SVM KIA Car Showroom. In the modern automobile industry, organizations are increasingly using advanced technologies to improve employee skills and overall business performance. AI-based training methods provide employees with better learning opportunities, personalized guidance, and real-time performance feedback, which can help them handle customers more effectively and improve their sales techniques. The main objective of the study is to understand whether AI supported training programs contribute to the improvement of employees’ knowledge, confidence, and productivity in the sales process. Data for the study were collected from the sales staff of the showroom using a structured questionnaire. The collected data were analyzed using statistical tools such as correlation and regression to identify the relationship between AI-based training and employee sales performance. The results of the study indicate that AI-driven training programs positively influence employee performance. Employees who receive technology-supported training tend to adapt quickly to new sales strategies, improve their communication with customers, and achieve better sales outcomes

Keywords: Artificial Intelligence (AI), AI-Driven Training, Employee Development, Automobile Industry, Employee Productivity, Customer Handling Skills, Sales Performance 


Author Information
S. Siddiq, Dr. M. Rajapriya Assistant Professor, Department of Management Studies, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai-600 062,
Issue No
4
Volume No
6
Issue Publish Date
05 Apr 2026
Issue Pages
342-348

Issue References

References

  1. Arthur, W., Bennett, W., Edens, P. S., & Bell, S. T. (2003). Effectiveness of training in organizations: A meta-analysis of design and evaluation features. Journal of Applied Psychology, 88(2), 234–245.
    https://doi.org/10.1037/0021-9010.88.2.234

  2. Goldstein, I. L., & Ford, J. K. (2018). Training in Organizations: Needs Assessment, Development, and Evaluation (5th ed.). Wadsworth Cengage Learning.
    https://books.google.com/books?id=4QW7swEACAAJ

  3. Johnson, R. (2021). Artificial intelligence in employee learning and performance improvement. International Journal of Human Resource Studies, 11(2), 88–102.
    https://doi.org/10.5296/ijhrs.v11i2.18342

  4. Kumar, S., & Sharma, R. (2020). The role of artificial intelligence in enhancing corporate training and employee engagement. International Journal of Management and Information Technology, 16(1), 45–56. https://doi.org/10.24297/ijmit.v16i1.8595

  5. Rao, P., & Patel, M. (2022). AI adoption in automobile sales and customer management: A strategic approach. Journal of Business and Technology, 14(3), 55-66.
    https://doi.org/10.5430/jbt.v14n3p55

  6. Singh, A., & Mehta, K. (2023). Impact of AI-enabled learning on employee performance: Evidence from the automotive sector. Global Journal of Human Resource Development, 12(4), 102–114.
    https://doi.org/10.1177/gjhrd.2023.124102

  7. Stone, D. L., & Deadrick, D. L. (2015). Challenges and opportunities affecting the future of human resource management. Human Resource Management Review, 25(2), 139–145.
    https://doi.org/10.1016/j.hrmr.2015.01.003