AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis

AI in Commerce: Innovations in Sales Optimization, Supply Chain Efficiency and Consumer Behavior Analysis

K Srinivasulu1, K Rahul2

1Assistant professor, Department of commerce, Government Degree College for Women Wanaparthy, Wanaparthy, Telangana.

2Lecturer, Department of Computer Science and applications, Government Degree College for Women Wanaparthy, Wanaparthy, Telangana.

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract

This research paper investigates the impact Artificial Intelligence (AI) is having on the foundational aspects of commerce sales optimization, supply chain management, and consumer behavior analysis. As organizations move into an era of enhanced competition and changing consumer needs, business leaders are now incorporating AI-driven strategies into their business models as the means for achieving operational excellence, and responding to market changes. By considering commercial applications, this research looks in to the function of AI algorithms, predictive analytics, and regression-based models (including the significance of beta coefficients), all of which can have a profound impact on traditional commercial functions. The findings demonstrate measurable business benefits and provide the foundation for a systematic evolution of commercial practice based on intelligence.

Key Words: AI in Commerce, Sales Strategy, Supply Chain Automation, Consumer Analytics, Regression Models, Beta Coefficients.