Research on Optimization of Community Distribution Strategy under the Trend of Intelligent Economy

Zhanhao Zhang

doi:10.54254/2754-1169/2025.LD25028

Advances in Economics, Management and Political SciencesOpen access

Research on Optimization of Community Distribution Strategy under the Trend of Intelligent Economy

Research Article

Open Access

Research on Optimization of Community Distribution Strategy under the Trend of Intelligent Economy

Zhanhao Zhang ^1*

¹ Macau University of Science and Technology

^*Corresponding author: 1220008831@student.must.edu.mo

Published on 11 July 2025

AEMPS Vol.201

ISSN (Print): 2754-1177

ISSN (Online): 2754-1169

ISBN (Print): 978-1-80590-259-1

ISBN (Online): 978-1-80590-260-7

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Abstract

In the context of rapid advancements in the field of intelligent economy, there is an increasing demand for community distribution. This study is firmly rooted in the paradigm of an intelligent economy. Its objective is clear: to explore the contemporary challenges associated with optimising community distribution strategies. This investigation is being conducted in the context of the rapid advancements witnessed in the field of e-commerce, which have resulted in the diversification of consumer demands. This is happening because of inefficiency and high costs in community distribution. The intelligent economic background creates an opportunity for community distribution. This involves analysing the current situation and problems of community distribution, analysing the application of intelligent logistics technology in community distribution, proposing optimisation strategies based on intelligent algorithms for distribution path optimisation, dynamic demand prediction, and customer service quality, and verifying the feasibility of the strategies through case studies. The findings show that using intelligent technology to optimise community distribution is the key to achieving efficient and high-quality results, ensuring both enhanced efficiency and elevated customer satisfaction.

Keywords:

community delivery, path optimization, demand forecasting, customer service quality

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