Demand-Driven Staffing Intelligence and Employee Performance Analytics: AI-Based Workforce Optimisation in American Retail Management

Authors

  • Daniel Nikulin Professor of Electrical Engineering, National Research University – Moscow Institute of Electronic Technology (MIET)

Keywords:

demand-driven staffing intelligence, employee performance analytics, workforce optimisation, american retail management, machine learning

Abstract

Workforce optimization is of paramount importance in the retail sector, directly influencing the efficiency and success of retail operations. [1] emphasize the significance of understanding and predicting the impact of management practices on retail store productivity. Their approach involves a case study integrating qualitative and quantitative data collection methods, such as participant observations, staff interviews, and questionnaires.

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Published

31-12-2023

Issue

Vol. 3 No. 2 (2023): Human-Computer Interaction Perspectives

Section

Articles

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How to Cite

[1]
“Demand-Driven Staffing Intelligence and Employee Performance Analytics: AI-Based Workforce Optimisation in American Retail Management”, Human-Computer Interaction Persp., vol. 3, no. 2, pp. 37–44, Dec. 2023, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/797