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How And Why Artificial Intelligence Raises Productive Efficiency And Service Performance?, Paperback / softback Book

How And Why Artificial Intelligence Raises Productive Efficiency And Service Performance? Paperback / softback

Paperback / softback

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In the future, (AI) can be such a supervised learning machine man to supervise logistic workers and control and manage them how to deliver goods in warehouses more efficient. Even, they can replace human logistic workers to do their logistic tasks in warehouses. What is (AI) supervised learning system mean : It is learning that takes place when an (AI) -enabled system is directly informed by humans. I shall explain it as doctor case, A doctor who evaluates x-ray images to detect cancer risk, he/she can feed whose expert input images into an (AI) learning system to facilities supervised learning or when the (AI) learning system sorts through x-ray images for a doctor to review and approve in an effort to help improve the learning of the (AI) learning system. So, it seems that (AI) learning system can be applied to do any supervising tasks. When, (AI) robotic machines are applied to logistic warehouse environment, it can be one artificial intelligent supervisor to check any products whether are delivered to the exact locations or shelfs as well as the number of products whether it is accurate to be prepared to delivery to the outsider accurate destinations before all goods are already sent out from the warehouses. For example, Amazon publish company paper book buyers need to buy paper books , when they pay visa payment and every reader choose the right topic book from its website, when they choose to buy the topic of paper book, then Amazon publish will send the reader 's the topic book choice to its warehouse. When the logistic worker know what the topic of the paper book is sold, then the (AI) learning system will record the topic of the book and the country address of the paper book buyer to already to print the topic of paper book and send to the book buyer's address.

Due to , there are many different countries paper book buyers who had chosen the different topic books to buy from amazon publish website. For example, if there are five hundred different countries book buyers who had paid visa to buy different topic books from Amazon publish website in the same day. Then , Amazon publish needs to deliver these five hundred different countries paper book buyers overseas address and the warehouse workers need to print all these five hundred different topic paper books in the same time in order to deliver all these five hundred paper books to their overseas home within two days. If Amazon publish has none of (AI) learning system to help it to record this five hundred different topic paper book buyers' overseas correct addresses and the accurate topic of every book. Then , I believe that Amazon publish has no more confidence to print the accurate different paper book right topic number and record all the different countries paper book buyers' overseas home addresses and names in order to print and deliver to them from warehouse within two days. SO, (AI) learning system can help this electronic publishing firm to record all these five hundred different countries paper book buyers' addresses and every paper book topic in its centered logistic system efficiently and effectively. Amazon publish can reduce some warehouse workers number , due to it has (AI) learning system to help it to record all paper book buyer's address and name and book topic clearly. Even, (AI) robotic machine men can help it to deliver any book to the accurate shelf location in order to delivery the right topic of every book to post to the right country's book buyer's address before all these five hundred different topic books are already posted to their overseas addresses by air planes.

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