What does this research mean for the field?

The integration of artificial intelligence and IoT technologies reduces transportation time by 28%, decreases fuel consumption by 16.7%, and lowers inventory holding costs by 20.2% in logistics management. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The central aim is to optimize logistics processes by integrating artificial intelligence and Internet of Things technologies.

March 10, 2026Journal of Intelligent SystemsOpen Access

Using artificial intelligence and IoT technology to optimize supply chain and logistics management

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Authors

CYChunling YangShanghai Industrial Technology Institute

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Implication

This research demonstrates improved logistics management using AI and IoT, indicating significant cost and efficiency benefits.

Key Points

The central aim is to optimize logistics processes by integrating artificial intelligence and Internet of Things technologies.
Integrated AI and IoT technologies for logistics optimization.
Applied random forest algorithm for route planning and inventory management.
Utilized real-time sensor data from GPS and RFID devices.
Achieved a 28% reduction in transportation time.
Decreased fuel consumption by 16.7%.
Reduced inventory holding costs by 20.2%.
Increased customer satisfaction by 14.1 percentage points.

Cite This Study

Chunling Yang (2026) studied this question.

synapsesocial.com/papers/69af959570916d39fea4d433 https://doi.org/10.1515/jisys-2025-0157

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Using artificial intelligence and IoT technology to optimize supply chain and logistics management

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Implication

Key Points

Cite This Study

Using artificial intelligence and IoT technology to optimize supply chain and logistics management

Discussion

Member takes

Implication

Key Points

Cite This Study

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