Dynamic Transport
Optimisation
The Opturion Dynamic Transport Optimiser enables a mixed vehicle fleet (with differing capacities and features) to pick the most efficient routes, reducing waste and meeting higher levels of customer demand.
Opturion's technology compares accurate models with an unmatched ability to respond to changes as they happen. Compared to other dynamic scheduling systems on the market, the dynamic transport optimiser produces results that are 50% closer to any hypothetical ideal schedule that would be designed if all of the changes were known from the start.
Or find out more about the Opturion DTO here:
Case studies
Alternative Freight Services aimed to minimise the long term impacts brought by freight costs, inefficient internal freight and supply chain processes. They approached Opturion in the hopes of integrating our DTO with their existing platform.
John L. Pierce looked to enhance the company’s transport service through strategic relationships with suppliers, customers, and staff. Opturion have installed a DTO that enables greater efficiency & guaranteed compliance with safety and other regulations.
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ALLIED
eXPRESS
Opturion was tasked with developing an optimiser that assisted Allied Express' operators in their decision process, so that they make better decisions quicker and maintain or improve on-time performance (customer service).
Opturion was contracted to model a supermarket network, which is comprised of separate temperature controlled components. The objective was to look at options within the operating model and determine the potential benefits.
AUSTRAL
BRICKS
To further improve on their production efficiency, Austral sought out Opturion’s services to create a DTO based on a model of their route optimisation problem, which contains the decisions needed to generate a schedule.
Schneider’s Australian operations contacted Opturion investigate the cost-effectiveness of their transport operation, and to determine if it would be beneficial to change to a different operating and cost model.