Abstract

With the advent of big data era and rapid development of Internet technology, e-commerce has had a strong development tendency that causes many problems, such as redundant and complex business processes, low efficiency and a high cost for e-commerce logistics in the distribution sector. It is not difficult to conclude that the key to improving logistics distribution efficiency—and reduce logistics distribution costs—is to optimize logistics distribution under big data. In this study, the management model, influence factors and development status of B2C e-commerce logistics distribution under big data are analyzed in detail. Then big data processing, business process and route optimization strategies for B2C e-commerce logistics distribution under big data are deeply studied. Furthermore, an optimization model of product sales and logistics distribution of B2C e-commerce by big data platform is discussed in order to propose an innovative optimization strategy for B2C e-commerce logistics distribution under big data. Big data technology is applied in B2C e-commerce logistics business management, which is studied in detail. These findings achieve the optimal distribution of B2C e-commerce, reduce the B2C e-commerce logistics distribution cost and improve the B2C e-commerce logistics distribution efficiency under big data. In addition, enhanced competitiveness of B2C e-commerce logistics distribution is examined in this study. This study provides a reference for follow-up big data studies in the field of e-commerce.

Highlights

  • With the rapid development of e-commerce in our country, the scale of e-commerce transactions continues to expand and the consumption means have changed for people [1,2,3]

  • In B2C e-commerce logistics distribution, the logistics distribution management model under big data has been constructed, the optimization strategy of big data processing in B2C e-commerce logistics distribution is proposed in this paper

  • The joint optimization of B2C e-commerce commodity sales and logistics distribution is promoted and the optimization process and route of B2C e-commerce logistics distribution is proposed by using big data, which can facilitate the development of logistics enterprises and reduce the cost of B2C e-commerce logistics distribution, improved efficiency and service quality of logistics enterprises and enhance the competitiveness, which further promote the economy development

Read more

Summary

Introduction

With the rapid development of e-commerce in our country, the scale of e-commerce transactions continues to expand and the consumption means have changed for people [1,2,3]. How to improve the logistics distribution service efficiency of B2C e-commerce through analyzing and mining big data are the biggest challenge of B2C e-commerce logistics enterprises under big data. For the deficiencies of the low efficiency and high cost of logistics distribution for B2C e-commerce under big data, the logistics distribution model, influence factors and development status of B2C e-commerce under big data are analyzed. The joint optimization mode of B2C e-commerce between product sales and logistics distribution based on the big data platform are explored and discussed in order to propose the innovation optimization strategy of B2C e-commerce logistics distribution under big data, which can reduce the logistics distribution cost of B2C e-commerce, improve the efficiency B2C e-commerce logistics distribution. Big data technology is applied in B2C e-commerce logistics business management in detail

Low Efficiency of Logistics Distribution Data Processing
Lack of Innovation of Logistics Distribution Mode
Lack of Optimization of Logistics Distribution Process
Low Efficiency of the Third-Party Logistics Distribution
Low Level of Logistics Standardization System
Realize the Information Docking of B2C E-Commerce Logistics Distribution
Increase the Logistics Distribution Utilization Value of B2C E-Commerce
Improve Customer Satisfaction of B2C E-Commerce Enterprises
Findings
Conclusions and Contribution
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call