The Impact of AI on the Future of Work at Vijay Sales
Submitted By
(Satyam Shivhare)
23GSOB2010017
MBA 2023-2025
UNDER THE GUIDANCE OF
Prof. (Dr. Ketki Kumari)
School of Business
Galgotias University
May, 2025
Abstract
Artificial Intelligence (AI) is developing at a rapid pace, and this is drastically changing the nature of work in many industries, including retail. This essay examines how artificial intelligence is changing the nature of work at Vijay Sales, one of the top retailers of consumer electronics in India. Vijay Sales is set to undergo major changes in workforce dynamics and operational efficiency as a result of the growing integration of AI tools like chatbots, predictive analytics, inventory management systems, and personalized marketing engines. The study looks at how the use of AI affects customer engagement tactics, job automation, employee roles, and necessary skill sets. It also looks at the organizational, moral, and financial effects of using AI in the workplace.. The paper attempts to give a thorough grasp of the opportunities and difficulties posed by AI by combining retail trends, industry insights, and fictitious AI applications at Vijay Sales. In order to ensure that the shift to AI-driven processes promotes sustainable growth, employee empowerment, and improved customer experiences, it concludes by providing strategic recommendations for striking a balance between technological innovation and human-centered development.
This study looks into how Vijay Sales' workforce and operational strategies are affected by the adoption of AI. It examines the development of new hybrid roles, the potential automation of repetitive and routine tasks, and the growing demand for digital skills among frontline and backend staff. It also takes into account potential organizational structural and cultural changes as human-AI collaboration becomes increasingly important for performance and productivity. The report describes how Vijay Sales can use AI as a strategic tool for workforce transformation, innovation, and customer-centricity in addition to increasing efficiency through a combination of industry data, case studies, and scenario-based analysis.