چکیده مقاله
We are currently experiencing a significant transformation in pricing strategies due to advancements in artificial intelligence AI This study explores how AI has reshaped dynamic pricing, emphasizing its critical role in modern revenue management It begins with a brief historical overview of traditional pricing methods and various models of dynamic pricing, highlighting how AI has enabled rapid, data driven price adjustments to optimize profitability in response to real time market conditions AI utilizes advanced algorithms and big data to accurately forecast price elasticity of demand, helping businesses align their pricing strategies more effectively with consumer behavior This study introduces recommended AI algorithms and evaluates their application in dynamic pricing models Additionally, it discusses the broader economic implications of AI driven pricing, suggesting that it can enhance revenue generation and contribute to greater economic stability
کلیدواژهها
نویسندگان
Atabak Effati
MS in University of Tehran, Faculty of Business Management
Mohsen Nazari
Prof, Marketing and Market Development Department, Faculty of Business Management, College of Management, University of Tehran, Tehran, Iran
شیوه ارجاع
Effati, Atabak and Nazari, Mohsen,1403,The Rise of AI-Driven Dynamic Pricing: A Transformation in Revenue Management,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز