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　　1. Application of computer technology

　　Inspired by companies such as Amazon and Alibaba, process automation will become the central stage - not only using physical robots that replicate human actions, but also using robot application software and cognitive computing services such as artificial intelligence and machine learning. In terms of data, this will bring about significant changes, allowing staff to focus on truly critical tasks. When robot process automation is combined with artificial intelligence cognitive analysis, it can enable programs to make business decisions like humans.

　　2. Predictive Maintenance

　　The integration of various technologies is impacting traditional maintenance concepts. Before the emergence of the Internet of Things (IoT), maintenance had always been a passive process, waiting for device failures and then fixing them. Nowadays, various technology combinations, including Enterprise Asset Management (EAM), Digital Twin, sensors, RFID tags, intelligent supply chain, and AI, enable enterprises to gain unprecedented insights into the lifecycle of products, components, and even materials. Using these technologies, devices can not only tell enterprises when maintenance, repair, or upgrade is needed, but also predict when they will fail, enabling end-to-end lifecycle management. Warehouses around the world are increasingly adopting proactive maintenance processes to reduce the occurrence of costly equipment failures. Of course, the same method can also be used to protect perishable goods.

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