Imagine that you’re an analyst for FreeThrow Athletic Wear, and you want to incorporate natural language processing (NLP) into your supply chain processes. Which of the following is the best way to take advantage of this AI technology? Select the best answer.

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1.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Have NLP tools detect defects or variations in the athletic wear during production so you can quickly address quality concerns and avoid potential disruptions.
Have NLP tools analyze historical sales data and external factors that impact demand so you can determine which products to retire.
Have NLP tools automate order processing and invoice verification so you can have more time to focus on more strategic activities.
Have NLP tools analyze customer reviews, social media comments, and customer service interactions across various platforms to help you gain insights on which clothing your customers like and how they feel about product quality.
2.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Techy Time Gadgets is concerned about potential disruptions in their supply chain due to international geopolitical tensions. How can AI-powered projections assist them in risk assessment? Select the best answer.
By optimizing transportation routes and modes for local shipments so the international tensions can be avoided
By identifying how much product can be produced to have an overstock situation and avoid potential production delays later
By conducting an AI-powered risk assessment on all of their supply chain operations
By analyzing news sources and economic indicators so the company can proactively adjust their sourcing strategy
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Imagine you work for a global e-commerce company, and you've been tasked with improving order processing efficiency. Which AI capability would you consider implementing? Select the best answer.
Predictive analytics
Robotic process automation
Reinforcement learning
4.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following is an example of how you could use AI-powered reinforcement learning in supply chain operations? Select the best answer.
Continuously analyze real-time traffic conditions, weather, fuel prices, and vehicle performance to generate optimal routes and schedules for each delivery vehicle.
Analyze raw, text-based customer feedback on social media platforms to classify sentiments, identify emerging issues, and extract actionable insights.
Identify product imperfections in real-time and automatically remove faulty items to reduce the likelihood of defective products.
Assess factors such as historical sales and customer sentiment to identify potential marketing campaigns.
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following is the best example of how AI can offer real-time visibility for inventory management? Select the best answer.
AI technology is used to track inventory during production and in the warehouse with IoT sensors.
AI technology is used to forecast when manufacturing equipment will need repairs.
AI technology is used to automate customer interactions by immediately responding to inquiries about product availability.
AI technology is used to automatically process orders and create invoices, which reduces inventory levels in real time.
6.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
How can you use AI to help you deal with the high volume of shipments your company manages each month? Select the best answer.
AI technology can negotiate contracts with suppliers to have them handle more shipments each month.
AI technology can automatically repair your trucks so they’re always available to handle shipments.
AI technology can collaborate with port authorities to enable more shipments to different parts of the world.
AI technology can identify when to consolidate multiple smaller shipments into a single load.
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
How can AI technology help TrustyTreads, a manufacturer of bicycle tires, reduce its freight costs? Select the best answer.
It can customize agreements with logistics partners based on each party’s goals.
It can identify cost effective transportation options based on historical data and current market rates.
It can resolve conflicts with logistics partners to overcome their objections to reduced freight fees.
It can suggest ways to reduce manufacturing costs so freight costs don’t have to be adjusted.
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