Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises

Kainuo Zhu

doi:10.47297/wspdecWSP2515-797312.20261001

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Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises

Volume 10, Issue 1

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Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises
Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises
City University of Macau, Macau, 999078, China
Vol. 10, Issue 1, Pages: 56-60(2026)
Published：30 January 2026
DOI：10.47297/wspdecWSP2515-797312.20261001
Accepted：

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Zhu Kainuo.Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises[J].Development Economics of China,2026,10(01):56-60.
DOI：

Zhu Kainuo.Application of Human-Machine Collaborative Dynamic Pricing Systems in Chinese E-commerce Enterprises[J].Development Economics of China,2026,10(01):56-60. DOI： 10.47297/wspdecWSP2515-797312.20261001.

摘要

Abstract

This paper examines the application of human-machine collaborative dynamic pricing systems in Chinese e-commerce enterprises. Moreover

in the context of China's highly transparent and fiercely competitive e-commerce market

traditional pricing methods could indicate that they have become inadequate in terms of the significant timeliness and critical precision

which may suggest that human-machine collaboration represents an emerging mainstream approach to pricing decisions. However

the article first analyzes market background and inevitability of this model's rise. Thus

it may delve into its three core technical components: machine learning prediction models

real-time market data monitoring

and human-machine interactive review and intervention mechanism. Nevertheless

from implementation perspective

it discusses core operational and management considerations for enterprises. Given that enterprises require technological foundation

the article might examine methods for strategic coordination and team and process development. Furthermore

this paper may provide e-commerce enterprises with framework for building efficient and robust intelligent pricing systems

spanning from theory to practice.

关键词

Keywords

references

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