Finding the ‘next Max Verstappen’ with data and smart algorithms.
Van Amersfoort Racing
MROflow
MRO planning tool for maintenance and capacity.
Plan maintenance based on available capacity and operational priorities.
Trusted by leading organisations
Why we built this,
Maintenance schedules are often put together using Excel files, fixed scheduling rules and staff experience. Planners need to account for maintenance requirements, available technicians and the operational use of assets.
When one condition changes, it immediately affects the rest of the schedule. Work takes longer than expected, capacity turns out to be unavailable, or maintenance conflicts with operational plans. Finding a suitable alternative by hand then takes a lot of time.
The MRO planning tool brings together the relevant scheduling information and helps staff allocate maintenance work. This makes bottlenecks visible earlier and helps them weigh up different scheduling options.
What you can expect,
A single overview of maintenance and capacity
The MRO planning tool brings together maintenance work, available capacity and operational constraints. This gives you an up-to-date overview of what needs to be scheduled and the limitations that apply.
The information included depends on the maintenance process and the systems in which the data is recorded.
Scheduling proposals based on clear criteria
The tool helps you create a schedule that takes predefined rules and priorities into account. This makes it easier to spot where work cannot be accommodated or capacity needs to be allocated differently.
The schedule can take into account, for example:
- Maintenance requirements and deadlines
- Available staff and capacity
- Operational use of assets
- Work priorities
- Conflicts between scheduled activities
Rescheduling when circumstances change
A maintenance schedule rarely stays unchanged. Work can overrun, staff may become unavailable and operational priorities can shift.
The tool helps you understand the impact of changes and prepare a revised scheduling proposal. The planner decides which adjustment works best in practice.
Our approach,
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Defining the planning challenge
We map the current maintenance process. We look at which tasks are scheduled, what capacity is available and which rules or constraints planners work with each day.
This helps us determine which parts of the planning process could benefit from support and which decisions should remain with staff. -
Bringing data and planning rules together
We make relevant information from the available systems accessible and translate the key requirements into a planning model.
We then test the proposed plans against historical or representative planning scenarios. Together with planners, we assess whether the results are useful and feasible. -
Starting with one planning process
We start with a specific team, type of maintenance or group of assets. Once validated, the MRO planning tool can be expanded to cover additional tasks, locations or planning requirements.
Not a replacement for the planner, but a tool for assessing complex maintenance decisions more quickly.
The planner remains in control and can adjust the proposed schedule when circumstances on the ground call for it.
What we’ve built before,
Three projects from our work with data and AI.
Further reading
Blogs and in-depth articles from our team.
24 Aug 2026
Three lessons from our AI projects
What we learned from dozens of AI projects: start with the decision, treat data quality as an organisational issue and arrange management in advance.
18 Aug 2026
From pilot to production: why most AI projects stall
Most AI projects stall not because of the technology, but because of data, teams and processes. Read what it takes to move from pilot to production.
25 Jun 2026
Responsible AI: from principles to practice
AI is developing rapidly. New models emerge almost every week, and more and more organisations are experimenting with AI.
Get in touch
Stef Stoelwinder
Business DevelopmentE-mail info@datasciencelab.nl
Phone +31 (0)20 3636 724
Frequently asked questions,
The tool is designed for asset-intensive organisations that need to coordinate maintenance with available capacity and operational requirements. This includes production facilities, energy companies and other organisations with complex maintenance schedules. The exact setup depends on the process and the available data.
Not necessarily. The MRO planning tool can use relevant data from existing systems and provide additional support for planning decisions. We determine which systems can remain in place and which integrations are needed based on your current environment.
The planner remains responsible for the final schedule. A proposal can be adjusted when practical experience, exceptions or new information call for it. The exact options for manual adjustments and approval have yet to be confirmed.
Experience remains important, but a complex schedule has more interdependencies than one person can assess at once. Processing data and constraints systematically makes conflicts and consequences visible sooner. Combining a planning model with practical experience therefore leads to a better-informed process.
That depends on the organisation’s goals. A schedule can be assessed on factors such as timely completion, available capacity, operational impact or costs. These goals can conflict. Priorities therefore need to be clear from the outset, and planners are still needed to assess the outcome in context.