Path Choosing of Logistics Service Upgrading Driven by Big Data

Abstract

With the rapid development of Big Data technology, it strongly drives logistics service upgrading. As for logistics companies, how to choose a proper path of service upgrading by using big data is a question. This paper is trying to analyze the upgrading paths and their impact factors. Then An empirical study is made on a sample company by constructing an AHP model, which includes target layer of path choosing, criterion layer of eight impact factors and solution layer of four possible paths. According to the situation of the sample company and experts discuss, the indexes are rated and calculated. The sequence of path choosing for the sample company to upgrade its logistics service by using Big Data is concluded as a result. The paper provides a new aspect to research logistics service upgrading driven by big data. The outcome is worthy to logistics companies when choosing a service upgrading path.