A mesterséges intelligencia árazásbeli alkalmazásának várható hatásai

Pál Danyi, B. Tanszék
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引用次数: 2

Abstract

THE AIMS OF THE PAPER Technology and tools of Artificial Intelligence (AI) will disseminate in more and more business areas in the near future, including marketing and pricing. Our aim is to present how data driven techniques will impact on pricing and change the pricing practices of enterprises. METHODOLOGY In this conceptual study I analyzed the expected impact of AI methods, based on the detailed research I carried out earlier. My study inspects the most important process steps of pricing. MOST IMPORTANT RESULTS I prove in my research that data driven technologies supported by AI tools will bring fundamental changes in pricing in the next decade. I developed a potential AI-based process of establishing optimal prices. I offer a proposal to expand the one dimensional price of a product into three dimensions including time and customer.  RECOMMENDATIONS Value-based and dynamic pricing will spread widely due to AI. Reservation price, price elasticity, and optimal price are those theoretical concepts that will gain practical relevance with the usage of AI: all companies will be able to calculate those values by which profit can be increased significantly.
在不久的将来,人工智能(AI)的技术和工具将在越来越多的商业领域传播,包括营销和定价。我们的目标是展示数据驱动技术将如何影响定价并改变企业的定价实践。在这个概念性的研究中,我分析了人工智能方法的预期影响,基于我之前进行的详细研究。我的研究考察了定价过程中最重要的步骤。我在我的研究中证明,由人工智能工具支持的数据驱动技术将在未来十年给定价带来根本性的变化。我开发了一个潜在的基于人工智能的流程来确定最优价格。我建议将产品的一维价格扩展到包括时间和客户的三个维度。基于价值的动态定价将因人工智能而广泛传播。保留价格、价格弹性和最优价格是那些将与人工智能应用获得实际关联的理论概念:所有公司都将能够计算出那些可以显著增加利润的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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