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Question 1 (Due Date : Thursday, 7th Feb, 2024, 4:00PM PST)
Following are the to
Question 1 (Due Date : Thursday, 7th Feb, 2024, 4:00PM PST)
Following are the topics related to the tasks for Big data analytics in supply chain management
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.
INSTRUCTIONS
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?
Give me some paragraphs for this one with a word count of not less than 400.
Question 2
Review the following article:
A Guide to Reverse Logistics
Using information from this article and from the Chapter 8 reading, select and research a major online sales organization, such as Amazon or Walmart, and how they handle product returns.
INSTRUCTIONS
Create an eight-slide PowerPoint presentation addressing what data the organization collects about the products being returned and what they do to handle those products.
Describe how the data is then provided to the product manufacturers to aid in product improvement to avoid returns.
Include interesting information that is related to the above topic and APA7 references as well with related in-text citation added in slides content
Make the Google Slides presentation which is lively with right combination of the words and related graphics
Provide me with scripts in separate text files on top of which I could be able to present.
NOTE:
The first question is due early (Thursday, 7th Feb, 2024, 4:00PM PST)
Please provide Plagiarism and AI Similarity Score for answers
The response should be excellent, new information and interesting. Let me know if you have any questions
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