USING ARTIFICIAL INTELLIGENCE IN SALES AND LOGISTICS PROCESSES: OPPORTUNITIES AND LIMITATIONS

Mamatkulova Shoira Djalolovna

Authors

Mamatkulova Shoira Djalolovna Candidate of Economic Sciences, Associate Professor of the Marketing Department, Samarkand Institute of Economics and Service

Keywords:

artificial intelligence, ai in sales, ai in logistics, supply chain optimization, future forecasting, customer experience, automation, machine learning, predictive analytics, operational efficiency, business process management.

Abstract

The integration of artificial intelligence (AI) into sales and logistics processes is changing the way companies operate, increasing efficiency, improving decision-making, and enhancing customer service. In this article, we explore the potential of AI to automate routine tasks, optimize supply chain operations, predict activity, and personalize customer interactions. It also examines the limitations and challenges of AI, including technological complexity, data quality requirements, ethical issues, and employee onboarding.

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