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Business Strategy: The Use of Advanced Analytics in Logistics Fleet Management

Business Strategy: The Use of Advanced Analytics in Logistics Fleet Management

This IDC Manufacturing Insights report takes a look at the applicability of advanced analytics in logistics fleet management. The vast amounts of data generated in the flow of goods through the supply chain coupled with the availability of impactful data through external sources must be leveraged by logistics firms to improve fleet performance. Use cases for advanced analytics in fleet management include dynamic routing, predictive maintenance, and network optimization, among others.

John Santagate, research manager, IDC Manufacturing Insights, reports that "the evolution of IoT, mobility, cloud, social, and Big Data and analytics has created a perfect storm of opportunity for logistics firms and other shippers to gain valuable insight into fleet performance and generate business value through advanced analytics."

Please Note: Extended description available upon request.


IDC Manufacturing Insights Opinion
In This Study
Situation Overview
Internet of Things and the 3rd Platform
What It Means for Logistics Fleet Management
The Approach
Future Outlook
Essential Guidance
Actions to Consider
Learn More
Related Research
Synopsis
Table: Key Use Cases of Advanced Analytics in Logistics Fleet Management
Figure: 3rd Platform and the IoT
Figure: Advanced Analytics Flow
Figure: Worldwide IoT Revenue by Select Use Case, 2015

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