ABSTRACT
The supply chain networks of today’s era require effective analytics and the ability to become more customers centric by responding quickly with accuracy. The corporate world has an ongoing search for analytical solutions in the supply chain to articulate huge amounts of data from dispersed data sources, which are mostly unstructured and natural language-based data. The analytics of the supply chain also foresees a snowballing number of supply chain variables, including peripheral forces such as climate, war, labor, conventions, etc. This chapter concentrates is to comprehend the implication of supply chain analytics and its paybacks in businesses. The forward-thinking nature of supply chain analytics is steering in a new era to optimize supply chain solutions. It can habitually filter through big data and assist an organization in improving predicting, identifying ineptitudes, respond swiftly to customer needs, drive modernization and 282pursue developmental ideas. The artificial intelligence (AI) in Supply chain analytics is turning as the bedrock for applying intellectual technologies, such as in the supply chain implementation process. Upcoming intelligent technologies comprehend to reason, acquire solutions based on evidence and interrelate like a human at massive capacity and promptness. The supply chain is ostensibly the most palpable face of the business for consumers. The larger role of analytics in the supply chain for a business firm, improved will be its security of business repute and long-term sustainability. This chapter tries to detail the core activities of Supply chain analytics and its integral part big-data-the magical word of competitiveness of business.
