
A suite of enterprise-level software modules that provide superior transport management, route optimisation and resource utilisation
PLATO is OPSI’s enterprise software for dynamic, multi-day planning, scheduling and controlling across both primary and secondary distribution environments.
PLATO incorporates many factors for modelling complex transport operations, including shift-changes, external contractors, loading bays, variable stop times based on loading and offloading profiles and more.
Interaction with external systems, integration with multiple
tracking and GPS service providers and precise control
through PLATO.Execution ensure that, from start to finish,
PLATO is in control of the process.
- Integrated distribution models: Seamlessly plan and control both primary and secondary distribution in the same workflow for increased efficiency
- Detailed optimisation: Utilising a comprehensive class system to control vehicle, site and product characteristics and a host of optimisations, PLATO accurately simulates the distribution environments
- Dynamic scheduling: When your schedule is threatened by an unexpected event, PLATO can reoptimise the current schedule with a click of a button
- Planned vs actual route comparison:Visually overlay the actual route being performed with the planned using incoming GPS data
- Event triggers: Set up PLATO to trigger actions and communications with external systems when certain statuses and limits are reached
- Easy setup with tracking and ERP: PLATO connects to almost all popular ERP and tracking systems
- Reduce travel distance: Bring down the number of kilometeres driven by finding more optimal routes for your deliveries, finding better matches across multiday schedules with better delivery assignment, and more.
- Decreased reliance on hired fleet: Better fleet utilisation reduces the chance of having to contract out loads to meet growing demand.
- Shorter planning times: Tighter planning times allows lets you squeeze in last-minute orders more easily, and your planners have time plan for the future.
- Smaller load bay queues: Reduce wasted time at clients and load bays by accurately modelling load and offload times for bays, products and vehicles.









