From your unknown variables and complex business needs, get answers on how to optimize your freight network while simulating the impact of changes to your operations and performance in a high-fidelity, digital twin sandbox environment.
A digital twin of your network, Network View allows you to test out the effect of changes to your business in a predictable environment. In addition to exploring different key metrics, you can also edit your volumes with key shippers, adjust lane volumes, add drivers at new locations, and evaluate customer bids.
A practical solution for one of the most important aspects of your business, Bid Manager allows you to import your customer bid files and evaluate their effect on your network. Within this module you can quickly rate lanes based on historical or market rates (or upload your own rates), add bid loads to a report to see which lanes will most benefit your business, test out different rates, and iterate based on feedback from your customers. You can even evaluate bids to multiple customers simultaneously to see interactions between networks
Without AI assistance, the challenge is knowing which variables to adjust to create the best case scenario. Plan lets you experiment with multiple bids simultaneously to hit the numbers you’re looking for.
Before making a single change, a digital twin lets you simulate KPIs when adjustments are made to:
Develop a clear plan for the most pressing future business decisions.
Dynamic load planning. Detailed strategic analysis. Dramatically increased planning horizon. Break down the barriers between planning and execution to drive automated decisions optimized for your business-defined priorities.
Get dynamic automation for the best load and dispatch decisions for your business in real-time, eliminating decisions by gut feel, reducing mistakes, and adapting when new unknowns are thrown your way.
Advanced AI allows you to plan 3 times further into the future compared to other forecasting technologies.
Connect with us to see how AI powers a more resilient decision-making process.