Looking ahead with data
Historical patterns are used to make an evidence-based estimate of what may happen next.
Forecast inventory
Align inventory decisions more closely with expected demand for products or parts.
Shortages can bring operations to a halt, while excess stock ties up capital. Manual planning does not always account for changing demand patterns. A predictive model estimates future needs and supports inventory and purchasing decisions.
From a standalone possibility to a practical application
The application only becomes meaningful when it fits a specific task and the information available for it.
Delivery times and operational risks remain part of the final assessment. That is why we define in advance what the solution should and should not do, how the outcome will be checked and who remains responsible.
What it delivers
Supporting planning
The outcome helps staff weigh up future capacity, inventory 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 establish what to predict and how far ahead.
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Examine the data
We assess the quality and predictability 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.
Aligned with your organisation
This service is relevant to retailers and industrial organisations that hold their own stock. The exact setup depends on the process, the available data and the risks associated with 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 a specific challenge: a predictive model estimates future demand and supports inventory and purchasing decisions. Exactly how it works depends on the process and the data available.
The service may be relevant to retailers and industrial organisations that hold their own stock. A clear need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question that needs to be answered, 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 adequately addresses the challenge and add complexity only when needed.
We define the scope of the application, check the results with users and put appropriate controls in place. Once it is in use, we monitor how it performs and adjust the solution when the data, usage or context changes.
Discover what inventory forecasting could mean for your organisation
Want to explore where inventory forecasting makes sense as a starting point? Together, we’ll map out the challenge, the available information and the requirements.