The reading this week explores various uses of big data analytics in supply chain management, such as: Sustainability Demand planning Supply chain network design Procurement management Product development and design Logistics The speed in which decisions must be made in today’s technology-driven world is immense, and businesses are under extreme pressure to find better ways to compete

The reading this week explores various uses of big data analytics in supply chain management, such as:

Sustainability

Demand planning

Supply chain network design

Procurement management

Product development and design

Logistics

The speed in which decisions must be made in today’s technology-driven world is immense, and businesses are under extreme pressure to find better ways to compete. Tools such as AI, ML, predictive analytics, and prescriptive analytics can help businesses make faster decisions, impacting business operations. 

Select an organization operating in supply chain (10 best supply chain companies of 2021) or shipping operations (UPS, FedEx, etc.). Research how they currently use AI, ML, predictive and/or prescriptive analytics. Share your findings and include your resources. How do these tools help the organization manage supply chain resources and product deliveries?