Bilyana Ivanova – University of Economics – Varna, Faculty of Management, Knyaz Boris I Blvd., 77, 9002 Varna, Bulgaria
Keywords:
B2B Industrial Pricing;
Dynamic Pricing;
Artificial Intelligence.
Abstract: The paper investigates the application of AI-powered dynamic pricing strategies to optimize pricing models for B2B industrial companies. Traditional pricing in the B2B sector often relies on static, cost-plus methods that fail to account for fluctuating market conditions, customer behavior, and competitor actions. Leveraging AI, specifically machine learning and predictive analytics, dynamic pricing models can process vast amounts of real-time data to determine optimal price points tailored to specific customer profiles and market demands. The study outlines the architecture and implementation of these AI-driven systems, detailing their ability to enhance pricing accuracy, improve profit margins, and strengthen customer relationships. By integrating AI, companies can automate pricing decisions, reduce human bias, and react swiftly to market changes. The findings demonstrate that an AI-powered approach not only optimizes revenue but also creates a scalable and adaptive pricing strategy, positioning B2B industrial firms for competitive advantage and sustainable growth in an increasingly volatile market.
8th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2024 – Conference Proceedings, Hybrid (Zayed University, Dubai, UAE), October 24, 2024
ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania
ITEMA Conference 2024 Conference Proceedings: ISBN 978-86-80194-89-9, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2024
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
