In supply chain management, data-driven decisions have unquestionably great value. Supply chain analytics becomes crucial for making wise decisions as businesses negotiate growing complexity in procurement, distribution, and logistics. Using data to simplify procedures, cut expenses, and raise service standards helps businesses become more competitive. From descriptive and predictive to prescriptive, different types of supply chain analytics allow companies to address various issues while increasing efficiency and timely and effective satisfaction of consumer needs. Types of Supply Chain Analytics There are many distinct forms of supply chain analytics, each targeting a different level of decision-making process. Descriptive analytics emphasises on historical performance, thereby enabling companies to spot trends and patterns… Read More
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