Social Influence Data Analytic For Supply Chain Management in Fashion Industry

Abstract

Supply chain management in the area of fashion is a flow that is interconnected from upstream which is a supplier of fashion production to the downstream who are users of fashion products. In the downstream data of customer experience is one of the concepts (use case) which avoids out of stock as a competitive advantage factor. The analytic data process involves various entities in line with the massive growth of electronic commerce and social media which provides a social influence on customer purchases. Data analysis requires relevant data and data resources of customer activities and trends and appropriate methods to produce effective knowledge for the needs of the supply chain process in the midstream and downstream. This research produces an architectural model that describes the objectives, data/data resources and relevant methods used in the analytical data process of social influence on the supply chain of the fashion industry.