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Data-Driven Decision Making for Achieving Sustainability in Apparel Business Value Chain
Abstract
Data-supported decision-making and understanding the customer's behaviour has become an essential and challenging problem for apparel businesses to sustain their position in competitive markets. Current information communication technologies (ICT) are ushering hope to mitigate this challenge, particularly the blockchain with internet of things (IoT)-based enterprise information system framework providing relevant services in global networks that mediate effective and sustainable supply chain operations. Data collection and interpretation of collected data (known as data analytics) on business-specific value creation process is most important in this architecture. This chapter reviews recent literature on technology-driven supply chain automation and related data analytics-related issues for managing sustainability. Lastly, the chapter presents an application area of 'market basket analysis' technique that focuses on discovering patterns in retail transaction data with the help of an algorithmic data mining method.
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