What is Dispatching?
You are looking at a list of all of your company’s Drivers and Loads that are ready to be assigned out within the next 24 hours, with smart assignment recommendations based on feasibility and profitability.
The system chooses the best drivers for a load using the downstream values estimated by the load acceptance system, which means we obtain the benefits of feedback learning presented in the strategic planning system above.
In other words, you are looking at a tool that does the heavy lifting of figuring out the optimal assignments. Simply review and assign, and done.
How are the recommendations created?
Possible assignment matches are run through Optimal Dynamic’s CORE.ai artificial intelligence engine which first filters for feasibility, and then analyzes the value.
The value ratings are based on a combination of variables:
Company profitability and on-time pickup/delivery
Driver time at home, HOS clock rules, and preferences
Future value location: how optimal is it for the network to have the driver at the destination location for the recommended load
Historical trends and forecasted probabilities
Your company’s business goals and other custom calibration parameters to ensure that recommendations are aligned with those needs
Network optimized, rather than one move at a time.
It is important to note that the engine is network optimized - it plans the entire network at once. This means some recommendations may seem suboptimal, but it is all part of a broader, nationwide plan to achieve the most profit.
Dynamic, rather than static.
Continuously analyzes & updates network decisions with the latest information. The last updated time is noted on the page for you.
FAQs
Why is this dispatch recommendation showing that my driver is estimated to pick up after the appointment window?
Our solution is flexible to how you do business. If your shippers are okay with a late pickup/drop off, then we enter that into a calibration parameter and allow recommendations to be that late.