A specific example of this at work is the use of smart shelves. These shelves are equipped with sensors that can detect when products are running low or when they need to be restocked. The data is then processed locally, allowing for immediate action to be taken to ensure that products are always available for customers. Real-time feedback on inventory status and customer preferences from stores can help with merchandising and demand forecasting functions, enabling retailers to react more quickly.
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