Predictive analytics empowers supply chain optimization by forecasting demand trends, enabling businesses to align inventory levels with future requirements. For example, retail companies can use predictive models to anticipate peak demand during holiday seasons, ensuring sufficient stock availability. This proactive approach minimizes overstocking and understocking risks, reducing costs while maintaining customer satisfaction. Predictive analytics also aids in logistics planning, supplier coordination, and delivery scheduling, enhancing the overall efficiency and responsiveness of the supply chain. Why Other Options Are Incorrect: • A: Visualizing historical data lacks the forward-looking capabilities of predictive analytics. • C: Automation benefits from analytics but cannot entirely replace human oversight. • D: Cost reduction should not compromise customer satisfaction, a critical supply chain goal. • E: Human expertise remains essential for interpreting and acting on analytical insights.
Which is/arecommon spoilage seen in canned food
Which of the following nutrient is highest in poultry manure?
Which of the following Indian sheep breed is known for producing superior
quality carpet wool
The promising irrigation technique in rice crop is:
The correct order of crops with respect to their water requirement
Saline soils are reclaimed by
Coverage area of knapsack sprayer (hand operated) is _____
______ is not used to reclaim acid soils.
In which crop earthing is not required?
Tryptophan is the precursor of
