Supply Chain Analytics
Description: Supply Chain Analytics uses data analysis to optimize and improve supply chain operations and decision-making.
Description: Supply Chain Analytics enhances efficiency, reduces costs, improves decision-making, and increases customer satisfaction and profitability.
Description: Descriptive, diagnostic, predictive, and prescriptive analytics analyze past, present, and future data for insights.
Description: Descriptive Analytics analyzes historical data to summarize trends, patterns, and insights for better decision-making.
Description: Diagnostic Analytics examines data to determine the cause of past events and identify underlying issues.
Description: Predictive Analytics uses historical data and statistical models to forecast future trends and outcomes.
Description: Prescriptive Analytics provides actionable recommendations based on data analysis to optimize decision-making and achieve desired outcomes.
Description: Demand Management involves forecasting, planning, and controlling demand to align supply with customer needs efficiently.
Description: Goals and Objectives of Demand Management are to balance supply with demand, reduce costs, and improve efficiency.
Description: Supply and Demand represent the relationship between the quantity of goods available and consumer needs.
Description: The Supply and Demand Curve graphically represents the relationship between price, quantity supplied, and quantity demanded.
Description: Factors Affecting Demand include price, income levels, consumer preferences, and the availability of substitutes.
Description: Cause of Demand Variation includes changes in consumer preferences, income, prices, and external economic factors.
Description: Demand Management Process involves forecasting, planning, and controlling demand to align supply with market needs.
