Study on the Key Factors Influencing Consumer Loyalty in Fresh Food E-commerce Platforms Based on SVM-RF Model

Yaoyi Huang; Jiaxun Chen; Bobin Zhang; Feiyu Jin; Yanmin Lu; Changxiao Ma

doi:10.54097/4ks5mc13

Authors

Yaoyi Huang
Jiaxun Chen
Bobin Zhang
Feiyu Jin
Yanmin Lu
Changxiao Ma

DOI:

https://doi.org/10.54097/4ks5mc13

Keywords:

Fresh Food E-commerce Platform; Consumer Loyalty; Support Vector Machine; Random Forest; Weighted Fusion Model.

Abstract

With the rapid development of internet technology, fresh food e-commerce platforms represented by companies such as Hema Fresh have quickly risen to prominence, becoming a new force in the modern retail sector. These platforms meet consumer demands for high-quality fresh products as well as convenient and efficient shopping experiences through their unique business models and service advantages. Therefore, in the context of the highly competitive market environment of fresh food e-commerce platforms, exploring how to enhance user loyalty to the brand of these platforms has become an urgent task. This study aims to investigate the key factors influencing consumer loyalty in fresh food retail e-commerce platforms by constructing an SVM-RF combined regression model, and to offer practical suggestions for improving platform management and market competitiveness.

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