Abstract: The dynamic, predictive information system and method assigns shipping assets (drivers-tractors-trailers) from carriers to transport orders by shippers. Computer databases hold shipping asset data. Specific transport orders are electronically joined to specific driver-tractor-trailer combinations. A search and sort routine produces resulting records based upon proximity, trailer type, proximity of the joined driver-trailer combination, carrier service region and pick-up and delivery date constraints. The sort is by price or performance indicators which are pre-selected shipper ranges matched to historical shipping data from carriers. The system books the carrier, the driver-tractor-trailer combination and the shipper to transport order with an electronic communications phase. In a truck lane scenario, the system joins a specific driver and a specific tractor and a non-specific trailer to a specific transport order.

Abstract: The dynamic, predictive information system and method assigns shipping assets (drivers-tractors-trailers) from carriers to transport orders by shippers. Computer databases hold shipping asset data. Specific transport orders are electronically joined to specific driver-tractor-trailer combinations. A search and sort routine produces resulting records based upon proximity, trailer type, proximity of the joined driver-trailer combination, carrier service region and pick-up and delivery date constraints. The sort is by price or performance indicators which are pre-selected shipper ranges matched to historical shipping data from carriers. The system books the carrier, the driver-tractor-trailer combination and the shipper to transport order with an electronic communications phase. In a truck lane scenario, the system joins a specific driver and a specific tractor and a non-specific trailer to a specific transport order.

Abstract: The dynamic, predictive information system and method assigns shipping assets (drivers-tractors-trailers) from carriers to transport orders by shippers. Computer databases hold shipping asset data. Specific transport orders are electronically joined to specific driver-tractor-trailer combinations. A search and sort routine produces resulting records based upon proximity, trailer type, proximity of the joined driver-trailer combination, carrier service region and pick-up and delivery date constraints. The sort is by price or performance indicators which are pre-selected shipper ranges matched to historical shipping data from carriers. The system books the carrier, the driver-tractor-trailer combination and the shipper to transport order with an electronic communications phase. In a truck lane scenario, the system joins a specific driver and a specific tractor and a non-specific trailer to a specific transport order.

Abstract: The dynamic, predictive information system and method assigns shipping assets (drivers-tractors-trailers) from carriers to transport orders by shippers. Computer databases hold shipping asset data. Specific transport orders are electronically joined to specific driver-tractor-trailer combinations. A search and sort routine produces resulting records based upon proximity, trailer type, proximity of the joined driver-trailer combination, carrier service region and pick-up and delivery date constraints. The sort is by price or performance indicators which are pre-selected shipper ranges matched to historical shipping data from carriers. The system books the carrier, the driver-tractor-trailer combination and the shipper to transport order with an electronic communications phase. In a truck lane scenario, the system joins a specific driver and a specific tractor and a non-specific trailer to a specific transport order.