BIG DATA AND AI FOR IMPROVING MARKETING DECISION-MAKING IN DISTRIBUTION COMPANIES

Authors

  • Jamoliddinov Fakhriyor Shodiyor ugli Tashkent State University of Economics

Keywords:

Big Data, Artificial Intelligence (AI), marketing decision-making, distribution management, predictive analytics, trade promotion optimization, dynamic pricing strategies, machine learning, data-driven marketing, prescriptive analytics.

Abstract

This article examines the transformative role of Big Data and Artificial Intelligence (AI) in enhancing marketing decision-making within distribution companies. It explains how AI enables a strategic shift from descriptive reporting toward predictive insights and prescriptive, value-creating actions. Key applications include trade promotion optimization, dynamic pricing strategies, and highly personalized retailer engagement. The article also presents a maturity model for effective adoption and emphasizes that leveraging AI represents not only a technological enhancement but also a strategic opportunity to strengthen marketing ROI and achieve long-term, sustainable competitive advantage in an increasingly data-driven marketplace.

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Note: The entry “Management, 42(4), 460–468” appears incomplete and lacks author, year, and article title information. It should be clarified or removed to ensure bibliographic accuracy and consistency.

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Published

2026-02-24

How to Cite

Jamoliddinov Fakhriyor Shodiyor ugli. (2026). BIG DATA AND AI FOR IMPROVING MARKETING DECISION-MAKING IN DISTRIBUTION COMPANIES. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE & INTERDISCIPLINARY RESEARCH ISSN: 2277-3630 Impact Factor: 8.036, 15(02), 7–13. Retrieved from https://gejournal.net/index.php/IJSSIR/article/view/2849