Research on AI Agents Empowering Pricing Decisions in E-commerce Retail

WANG Yiheng, SONG Xiao, WANG Sizhuo, HU Fangyuan, ZHAO ZhiMing

High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (6) : 50.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2026, Vol. 32 ›› Issue (6) : 50.

Research on AI Agents Empowering Pricing Decisions in E-commerce Retail

  • WANG Yiheng,SONG Xiao,WANG Sizhuo,HU Fangyuan,ZHAO ZhiMing
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Abstract

While large e-commerce brands successfully use data-driven models to reduce costs, complex pricing algorithms remain too technical for small and medium-sized enterprises (SMEs), preventing them from leveraging AI. To bridge this gap, this paper develops an accessible agent-based pricing system tailored for SMEs. By combining machine learning and profit optimization models, it provides smaller merchants with robust, data-driven decision support.

Key words

agent applications / e-commerce / machine learning models / dynamic pricing system / data-driven decision making

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WANG Yiheng, SONG Xiao, WANG Sizhuo, HU Fangyuan, ZHAO ZhiMing. Research on AI Agents Empowering Pricing Decisions in E-commerce Retail[J]. High-Technology and Commercialization. 2026, 32(6): 50

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