The problem of continuously constructing efficient routes and schedules for large-scale truckload networks where critical demand response drives competitive advantage has not been commercially solved.
DayJet Technologies Just-in-Time Transportation (JITT) Solver has the power to manage the dynamic complexity of truckload transportation compliant with real-world constraints. This breakthrough technology offers compelling business benefits to regional and national truckload carriers:
- Improve asset utilization - Based on an air charter client experience, revenue vs. non-revenue miles can be improved by 3% - 5%.
- Reduce costs – Construct routes that are always feasible and efficient, including adapted routes based on disruption and new loads.
- Boost revenue – Accept higher-margin loads with confidence in the costs factors – on time and with best asset positioning.
- Increase driver retention – with a rising driver shortage environment, efficient routes positioning drivers near domicile more often will improve retention.
- Reduce carbon emissions – The improved route efficiency generated by the JITT Solver naturally improves sustainability performance and achievement of emissions goals.
The core technology approach selected by DayJet Technologies is based on separation between the algorithms to generate feasible solutions and the algorithms used for actual optimization. This clever strategy permits a much richer and comprehensive set of constraints than feasible with commercial truckload optimization solutions in the marketplace today.
The innovative decoupling of optimization from the messy details of feasibility constraints allows the implementation of sophisticated metaheuristics and multigrid algorithms. This astonishingly elegant solution assures that the critical constraints of a transportation real-world environment are always satisfied while very near optimal, implementable plans are provided to your dispatchers. Georgia Tech found that even large problem solutions were within 1% of optimality.

JITT Solver boosts dispatcher productivity and results. The benefits of generation of constraint-based solutions distinct from optimization empowers your expert dispatchers to:
- Make routing decisions knowing that schedules meet all critical constraints.
- Optimize large fleets - national or regional - considering thousands of assets in motion.
- Search across an integrated network; yet make decisions at a regional level.
- Generate solutions in real-time to respond to frequent changes and disruptions.
Continuous move planning opens new revenue options. The JITT Solver will generate evolving “tours” by combining separate shipments and loads, including backhauls, into multiple-stop trips, always mindful of the critical client and driver requirements. With the ability to process large asset pools fast, the JITT Solver will allow an expert dispatcher to look across the network to find surprising rerouting opportunities with significant cost savings for a fixed revenue commit, or a real-time spot quote.
ITS integrated with JITT Solver creates a holistic new operating model - The continuous data streams from ITS when integrated with real-time route and schedule optimization opens up new transportation management capabilities. Competitive business practices now possible are:
- Dynamic planning based on new orders with a rolling horizon realizing material cost savings with real-time, truckload network optimization.
- Unplanned asset or driver changes can be instantly managed by a real-time technology to identify optimal alternatives.
- The JITT Solver can identify physical route alternatives– due to weather conditions, congestion delays or schedule updates.
JITT Solver Implementation – Embedded in Your TMS and CMS
The DayJet Technologies solution can be readily embedded in our clients Transportation or Carrier Management Systems. In addition to the feasibility and optimization engines, the JITT Solver system provides users with well-defined interfaces, supports logic for soft constraint modification, and utilizes high-performance hardware capabilities for parallel processing.

