Load Planning & Dispatch - Enterprise Ready
Load Planning on steroids
Plan centrally or de-centrally to meet various constraints.
Real-Time Dynamic Planning
Leverage real-time visibility to plan for real-time changes.
Advanced dispatch capabilities
Leverage auto-dispatch capabilities and reduce the need for dispatcher hours.
Our Customers Routinely See
10% - 15%
Customer Satisfaction (improvement)100%
Visibility into delivery statuses30% - 35%
Dispathcer Hours (Reduction)


Centralized or De-Centralized Planning
- Asset Optimization
- Delivery Costs
- Driver Throughput
The network-based platform understands the delivery organization hierarchy. It helps you plan your load either centrally or at individual terminals to optimize in the best way possible for your business.
Real-time planning based on real-time visibility
- Asset Optimization
- Delivery Costs
- Driver Throughput
The load planning is no more a static one-time activity. The platform is capable of planning in real-time based on new demand and current resource locations and capacity.






Auto-Dispatch to reduce expensive human hours
- On demand orders
- Driver Idle Time
- Manual routing hassle
One of the most expensive components of any delivery business is the labor involved in managing the dispatch functions. The auto-dispatch capabilities allow you to reduce the dispatcher hours drastically by automating the dispatch process based on various demand parameters and business scenarios.
Grow your business without adding additional labor
- Manual routing hassle
- On demand orders
- Driver Idle Time
Scale your business to support additional demand without the need to add more dispatcher hours. Automate the dispatch functions and manage exceptions easily with system suggested solution.






AI & ML in play
- Driver Idle Time
- On demand orders
- Manual routing hassle
The AI & ML powered platform continuously look for patterns within the execution data and auto-suggest alternatives. The suggested machine learning capability leverages the best of both worlds, institutional knowledge and machine learning capability of looking through millions of records of data to create better trust between human and system suggestions.




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