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Modernization in the AX Era for the Logistics Industry

Explaining the method to optimize delivery and utilize AI through data integration while leveraging existing logistics systems.

In the logistics industry, rapid decision-making based on data is required for optimizing delivery routes and improving loading efficiency. However, many existing systems that have been in operation for years have become complex, making it difficult to integrate new AI technologies and external tools. "Collaborative modernization," which connects necessary data to AI and optimization engines without completely overhauling existing systems, is an important approach for promoting logistics digital transformation (DX). 【Use Cases】 - Data integration between delivery management systems and AI optimization engines - Integration of on-premises delivery data with cloud SaaS - Automation of delivery instructions using no-code tools 【Benefits of Implementation】 - Enables gradual system modernization leveraging existing IT assets - Smooth transition to AI utilization through the establishment of a data integration platform - Eliminates fragmentation between systems and supports the efficiency of delivery operations

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