Transportation modelling

HOLLAND, Michigan – BluJay Solutions has launched a Transportation Modeling application, built in collaboration with LLamasoft.

The application equips shippers with analytics to evaluate the multiple scenarios and tradeoffs of making changes to operational policy and their potential to improve service and reduce costs. BluJay’s Transportation Modeling uses data generated through BluJay’s network and applications.

BluJay began developing the application after recognizing shippers using its Transportation Management system needed the ability to quickly and easily evaluate the efficiency of their transportation planning policies. This new offering meets that need by quantifying cost-saving opportunities, by considering shipment consolidation to determine the optimal load, mode shift (truckload versus intermodal), and date flexibility on both the pick or drop and equipment shift.

BluJay’s Transportation Modeling application will eventually grow to include new output scenarios which may incorporate distribution center location placement, where to locate suppliers, and fleet utilization.

BluJay’s Transportation Modeling application uses LLamasoft’s llama.ai platform. The platform takes data gathered from multiple sources to create a digital twin of a supply chain to analyze current operations and uncover new operational options or areas of inefficiency or risk.

The solution uses historical shipper data to model various scenarios to determine the best policies, and the application is then configured to execute these policies.

The new application has five pre-configured scenarios, providing users the ability to immediately begin leveraging cost, weight, stop, utilization, and distance metrics.

Users also have the ability to customize and create additional transportation modeling scenarios. BluJay’s Transportation Modeling application includes the capability to conduct what-if scenarios to predict the potential impact of changes in procedures.

Key features include:

• Visualization of transportation network via a mapping interface
• Visual comparison of scenario results across cost, stops, utilization, and distance
• Ability to filter data set for different scenarios
• Configuration of ability to create maximum TL capacity parameters
• Data export from an application to excel for all relevant data tables
• Access to scenarios across users within a company