Highly Accurate Predictive ETAs for Superior Service
Predictive ETAs: Accurately predict probability of being on-time, as well as time of arrival
We have changed the game with an adaptive algorithm that accurately predicts the time of arrival and the probability of being on-time. Users can track the history of shipments, assess carrier performance, and replan dock schedules based on these calculations.
Dynamic ETAs Improve Performance and Customer Satisfaction
Having access to critical data across all modes can help you be more proactive when issues arise, especially in those modes where delays are most likely to occur. Account for changing shipper needs, assess current area conditions, and reroute drivers to meet new AI-driven time and delivery date prediction estimates. It’s all part of smart transportation.
Power of Predictive ETAs in Transportation
Automation Boosts Collaboration in Dock Management
High Configurability Allows for Better Review of Current Driver Planning
Greater configurability within the system reduces delays by allowing for issues and leveraging dynamic rerouting to accommodate tight schedules for shippers.
Increase Customer Satisfaction with More Information About Planned Deliveries or Pickups
Reduced Call Checks
Ongoing Reassessment of Current Conditions Enables Management by Exception
Are Couriers Managing the Complexity of Final Mile Shipping Needs?
Do couriers pick up all packages submitted for pickup? How many pickups are missed? How many deliveries are made on time and in full?