CASE STUDY
Driving Efficiency with Data-Driven Hauling Optimization
THE CHALLENGE
A leading North American customer faced rising costs in its raw material supply chain. Trucking inefficiencies and inconsistent payloads meant:
They needed a data-driven solution to uncover hidden inefficiencies and optimize hauling operations at scale.
The ShigenTech Solution
ShigenTech deployed its real-time hauling optimization platform, connecting trucking data with live weight, moisture, and particle size metrics. This technology enabled the client to:
By turning raw data into actionable insights, ShigenTech gave the client a clear roadmap for improving efficiency and cutting costs.
KEY INSIGHTS
Data analysis of 337 loads uncovered:
The Impact
ShigenTech’s three-dimensional optimization model identified the savings potential across tonnage, rates, and time.
Results
By leveraging ShigenTech’s platform, the client achieved:
This case demonstrates how ShigenTech helps customers unlock hidden value through data-driven optimization.
By combining real-time insights with advanced modeling, ShigenTech empowers clients to reduce costs, improve resilience, and achieve real business outcomes.
