Work

Optimization of Price Strategy by Machine Learning in E-commerce

Year: 2025

Type: conference-paper

Abstract: Machine learning algorithms can monitor market dynamics, user behavior and competitor prices in real time, and dynamically adjust commodity prices based on this information to maximize profits. By analyzing historical sales data, market price data, user behavior data, etc., machine learning models can predict the demand and price sensitivity of goods to develop optimal pricing strategies. This study takes Pinduoduo and Taobao as examples to analyze the application of machine learning in E-commerce price strategy optimization, in order to provide useful reference for the E-commerce platforms.

Source: International Conference on Generative Artificial Intelligence and Information Security (GAIIS)

DOI: 10.1145/3728725.3728770

Authors: Quan Liu, Yunkui Song

Institutions: Guangzhou College of Commerce, China Southern Power Grid (China)

Language: English

Topic: Consumer Market Behavior and Pricing

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W4411015276

FWCI: 3.892

Cites: 2

Cited by: 1

Related to: 10