Route Optimisation API – Google Maps Platform
(Formerly Cloud Fleet Routing)
Reduce cost with Google Cloud Route Optimisation AI
Introducing Route Optimisation AI, a flexible API hosted on Google Cloud infrastructure, bolstered by Google Maps Platform. Route Optimisation AI is a new way to integrate, model and execute complex fleet scenarios on a global scale.
Route Optimisation AI is centred on finding efficiencies to reduce costs or create new revenue streams. It ingests your data points (constraints) and processes them against real-world location and traffic data to maximise efficiency via a simple REST API request. Users can then remodel or adjust the scenario to adapt to real-world challenges.
Google Cloud Fleet Routing Technology
The core technology within the API is Cloud Fleet Routing, which solves Vehicle Routing Problems (VRPs). For example, you have a fleet of 1000 vehicles, including deliveries, items for pick up and other related constraints such as cost, weight or margin. The API can process and return the following, sometimes in a matter of seconds, not hours or days:
- Maximum fleet utilisation (assets) to complete each pickup/delivery based on pre-defined SLAs
- Custom time windows with predictive ETAs for visiting locations within a set time range or when a customer has selected a specific time to receive their delivery
- Optimised routes to meet sustainability goals based on different vehicle types such as EVs
- Create territory or delivery zones based on demand or facility capabilities
What can Route Optimisation AI do for different businesses?
Reduce IT costs & TCO
Leverage the global scale of Google Cloud Platform to process complex data sets, constraints & business requirements. Focus on pre-planning fleets, outcomes & meeting customer needs rather than managing infrastructure. As OAI uses an API, routing algorithms can not only be programmed but customised to enable adjustments, enhancements and new constraints to be easily modelled, greatly reducing development time while maintaining full control.
Reduce the complexity of complex routing:
Routing is not just about delivering packages; it’s also about security teams transporting high-value goods, attending high-risk areas or even mobile workers visiting multiple locations for maintenance. These are similar routing challenges but with different complex constraints. OAI enables complex routing to take into account specific requirements such as ad hoc events or disruptions, to re-optimise sequences and update time windows. Building routes via the Google Maps Platform and 3rd party data to mitigate risk through minimising traffic or dwell times in high risk areas.
Faster pre-planning to enable better execution
Pre-planning enables better decision-making to execute against the plan. However, without the right day of execution technology, adherence to the plan can be complex, hard to track and even ignored. OAI was designed to integrate directly into Google’s Last Mile Fleet Solutions (LMFS). LMFS is a modular toolkit to solve fundamental challenges around Last Mile Delivery, enabling fleets to follow the plan and achieve KPIs, via:
- Logging of fleet performance
- Advanced address validation
- Real-time routing
- Embedded turn-by-turn navigation
- Integrated customer transparency & live tracking
Ready to Optimise Your Fleet and Reduce Operational Costs?
Route Optimisation AI is powerful — but real value comes from modelling it correctly against your operational constraints.
OniGroup helps organisations:
- Design and model complex fleet scenarios
- Integrate Route Optimisation AI into existing systems
- Reduce fuel, labour and infrastructure costs
- Improve SLA adherence and customer delivery windows
- Align routing strategy with sustainability goals
From discovery workshops to full-scale deployment and ongoing optimisation, our Google Cloud and Google Maps specialists ensure you extract measurable ROI from every route.
Let’s model your fleet scenario and quantify the impact.