Leveraging Emerging Technologies in Pricing Strategies and Consumer Behavior: Case Studies from China's Innovative Markets

Lifeng Wang; Christi Blandina Aldave

doi:10.62677/IJETAA.2406121

Authors

Lifeng Wang Graduate School, University of the East, Manila, Philippines Author
Christi Blandina Aldave University of the East, Manila, Philippines Author

DOI:

https://doi.org/10.62677/IJETAA.2406121

Keywords:

Emerging technologies, Pricing strategies, Consumer behavior, Case studies, Chinese market

Abstract

This study explores the impact of emerging technologies on pricing strategies and consumer behavior in China’s innovative markets. Through case studies of companies such as Alibaba, JD.com, Ctrip, Fliggy, Meituan, Hema, Douyin, and Kuaishou, we reveal how dynamic pricing, artificial intelligence, machine learning, and big data analytics are reshaping corporate pricing strategies and consumer behavior. The research finds that companies adopting dynamic pricing increased sales by an average of 15-20%; AI-driven personalized pricing improved con version rates by 25%; and big data analytics helped companies increase inventory turnover by 30%. In terms of consumer behavior, emerging technologies enabled companies to more accurately predict consumer demand, increasing user retention rates by an average of 18%. Social e-commerce platforms extended average user stay time by 40% and improved purchase conversion rates by 22% through technological innovation. This study provides valuable insights and practical guidance for companies formulating pricing strategies and understanding consumer behavior in technology-driven market environments.

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