Abstract
<p>E-commerce has a rapid development with the advent of the Internet era, the era of “Internet +” also let many industries to find new opportunities. Now online shopping has become a mainstream to meet the needs of people’s life, especially in the developed cities, more and more people are willing to buy all sorts of goods in e - Bay, Amazon, Sunning, JD and other large e-commerce enterprises. Business enterprise needs to deliver intact goods quickly to customers to improve customers’ intention of purchasing. So the development of e-commerce and express industry is closely linked. The end of the city logistics needs to contact with consumers directly as the last part of the whole process in normal logistics distribution, which may occur some problems about the damage of goods, slow information feedback, service quality and other issues will reduce the satisfaction of consumers and affect reputation of companies. This article use ISM technology to analyze the influencing factors of the logistics of the ecommerce enterprise from the perspective of consumers, and divide all of the factors into three levels, each level contains different meanings which make a reference for the trend of development of the end of city logistics distribution. </p>
Highlights
In the era of big data, there are huge commercial values behind the data accumulated in the end of city logistics.Since the end of the logistics distribution data directly from the consumer, making these data become an important business indicator in the consumer segment, product segmentation, channel segmentation, etc, (Li, 2014) which is very important for the front end market forecast, customer satisfaction and supply chain management optimization
In view of the above factors in three levels of the end of city logistics distribution, we can proceed from the following aspects to optimize the distribution of the end of the logistics: (1)Besides the e-commerce enterprises have their own logistics system, the logistics partner of the e-commerce enterprise should choose the enterprise with high reputation, and establish the supervision mechanism of the logistics evaluation
(4)The current situation is there are a huge number of Chinese rural areas, and China’s rural purchasing potential is huge
Summary
In the era of big data, there are huge commercial values behind the data accumulated in the end of city logistics. The typical representative of this model is the Amazon Co, it has been established nearly 100 large logistics centers in the United States, covering the major densely populated cities in U.S and ensuring the timely delivery, which allows 31% of U.S users can receive the goods in the same day. Through the collection and analysis of the actual literature, we find out 14 factors influencing the end of logistics distribution, at last using the ISM technology to draw the progressive relationship diagram, and explain the relationship between factors and find out the deep-level factors
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