Looking ahead with data
Historical patterns are used to make an evidence-based estimate of what may happen next.
Route optimisation
Plan routes based on capacity, jobs and operational constraints.
Manual route planning becomes complex when jobs and availability change. This can lead to unnecessary mileage or schedules that are difficult to carry out. Route optimisation compares possible routes against defined requirements and preferences.
From a standalone possibility to a practical application
An application only becomes meaningful when it fits a specific task and the information available for it.
The approach we choose depends on the available data and operational realities. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
What it delivers
Supporting planning
The results help staff assess future capacity, stock or maintenance needs.
Making uncertainty visible
Predictions are tested and remain a tool to support decision-making.
Our approach
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Define the decision and forecast horizon
We define what we’re predicting and how far ahead.
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Examine the data
We assess the quality and predictive potential of historical data.
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Develop the model
We start with a simple method and compare performance.
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Validate the results
We test predictions against historical periods and review them with experts.
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Integrate and monitor
We integrate the results into the process and monitor model performance.
Tailored to your organisation
This service is relevant to organisations in mobility, services and logistics. The exact setup depends on the process, the available data and the risks involved in the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service addresses the following challenge: route optimisation compares possible routes against defined requirements and preferences. Exactly how it works depends on the process and the data available.
The service may be relevant to mobility, service and logistics organisations. A specific need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question the solution needs to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge effectively and only add complexity when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adapt the solution when the data, usage or context changes.
Discover what route optimisation could mean for your organisation
Want to explore where route optimisation could be a logical starting point? Together, we’ll map out the challenge, the available information and the constraints.