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Application Prospects of Intelligent Logistics Systems in Supply Chain Optimization

Huijie Tang

Abstract


This paper aims to discuss the application prospect of intelligent logistics system in supply chain optimization, and aims to analyze
the performance of intelligent logistics system and traditional logistics system in key indicators such as transportation efficiency, inventory
cost, customer satisfaction, task completion rate and response time. The experimental results show that the intelligent logistics system has
significant advantages in various indicators: transportation efficiency increased by about 30%, inventory cost reduced by about 20%, customer satisfaction increased by 15%, the task completion rate is as high as 99% and the response time is shortened to less than 0.5 seconds.
These advantages are mainly due to the effective integration and application of the intelligent logistics system to the Internet of Things, big
data, artificial intelligence and other advanced technologies. The research concludes that the intelligent logistics system has broad application
prospects in the optimization of the supply chain, which can significantly improve the overall efficiency of the supply chain, and create greater economic benefits and social value for enterprises.

Keywords


Supply Chain Optimization; Transportation Efficiency; Inventory Cost; Customer Satisfaction

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References


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DOI: http://dx.doi.org/10.18686/fm.v10i3.14053

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