AI供应链 - 傲林科技

自由容器-副本6

AI supply chain

AI drives supply chain optimization, building a transparent and resilient digital supply chain network

数据湖-副本1-副本2-副本1-副本1-副本1-副本1-副本1-副本2

AI supply chain

——

For the problems existing in the manufacturing supply chain, big data and artificial intelligence technology can be used to achieve precise matching of supply and demand, rolling planning, full visibility of logistics, dynamic optimization of inventory, and full allocation of resources.

Help enterprises optimize the supply chain system, achieve the sustainable development of the entire intelligent supply chain, improve production efficiency, and enhance the core competitiveness of enterprises.

轮播多图-副本1-副本1

Strengthen supply chain response speed

Coordinate scheduling to reduce supply costs

Reduce supply chain and warehousing costs

数据湖-副本1-副本2-副本1-副本1-副本1-副本1-副本1-副本2-副本1

Four optimization scenarios to improve the management level for supply chain

——

自由容器

Warehousing resource utilization optimization,

Material incoming logistics optimization

On-site logistics scheduling optimization

Global optimization of supply costs

Comprehensively consider factors such as material characteristics, supplier supply mode, transportation route transportation mode, storage capacity and stock of each node, etc., to improve the overall utilization level of warehousing resources.

Integrate the production plan and material usage of each factory and each product line to maximize supplier delivery time and batches.

Taking into account factors such as VMI inventory in the park, warehouse storage capacity of each factory, production plan and material consumption progress, provide local and global optimization of in-plant logistics scheduling

Dynamically balance material transportation resources, warehousing resources and costs; integrate supplier delivery batches, reduce delivery, and improve vehicle utilization; improve warehouse utilization and reduce overall material supply costs.