Eco-Central Computing for Warehouse Optimization

This document presents use cases for achieving warehouse operational efficiency in manufacturing using IOWN technology, with the aim of transforming operations in the logistics industry. As a solution for warehouse operations that are difficult to fully automate, IOWN’s ultra-high-capacity, low-latency network aims to optimize warehouse operations by centralizing AI processing at remote green data centers, promoting collaboration between human and robot within warehouses, and achieving economic rationality.

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This document presents use cases for achieving warehouse operational efficiency in manufacturing using IOWN technology, with the aim of transforming operations in the logistics industry. As a solution for warehouse operations that are difficult to fully automate, IOWN’s ultra-high-capacity, low-latency network aims to optimize warehouse operations by centralizing