Forklift Monitor · intralogistics

The forklift is a data source.
The process is what we analyse.

Movements, stops, impacts and time spent in zones provide signals about warehouse operations. Forklift Monitor organises them into reports that reveal recurring phenomena. We are developing their interpretation in the context of tasks and work organisation.

Telemetry is a data source.The workflow is what we analyse.
Forklift moving materials in a warehouse
From observation to an operational decisionWhat does forklift activity tell us about the process?
Illustrative scene
Who Forklift Monitor is for

One view of the fleet. Different team questions.

Warehouse operations

For managers investigating vehicle activity, stops and zone usage in the context of daily work.

Workplace safety

For teams reviewing events and places that need investigation. Findings depend on working conditions and deployment configuration.

Fleet management

For people responsible for vehicle utilisation. Reports help frame questions about work organisation and fleet requirements.

Available product

Observations that start the analysis.

The actual Forklift Monitor interface presents reports and AI summaries using demonstration data. These observations are the starting point for analysing how work unfolds.

Actual Forklift Monitor screen. Demonstration data. Date shown in the application: 30 September 2026. Values reflect the moment the screenshot was taken.

Available functions

  • Activity and utilisation reports
  • Events, including impacts
  • Time spent in zones
  • Vehicle record

Process analysis · illustration of our reasoning approach

The process at the centre of analysis

Similar parts of the workflow.
Different observations.

A stop becomes meaningful in the context of location, time and a vehicle’s role. Task data, when available, can deepen the analysis.

Illustrative example · no time scale

Repeated longer stops by K33 at A12.

The same processSimilar tasksComparable conditions

How do we test this hypothesis?

We compare recorded events with observations of work and team knowledge. WMS data, where available, can help relate observations to specific tasks.

What do we change, and how do we assess the effect?

Establishing the cause helps decide whether to change the way work is organised or invest in an additional forklift.

After the change, we compare similar tasks under comparable conditions.

Scope and development stage

What works today, and what we are developing.

Available reports make recurring patterns of activity and events visible. We are developing their interpretation using process context and operational expertise.

Operational data and reportsTelemetry · activity · events · zonesAvailable today

Activity, events, impacts and time in zones provide the observations. Data availability depends on the deployment configuration and forms the basis for further analysis.

AI-assisted result summariesInterpretation of prepared analysis resultsAvailable today

The dashboard includes AI summaries. The system's analytics calculate the indicators; the model helps interpret the prepared results.

Process inferenceTask context · comparisons · hypotheses · verificationIn development

We are developing interpretation of work patterns using process descriptions, vehicle roles and the functions of locations. Hypotheses require operational verification.

Fleet & ServiceAvailability of resources supporting the processVehicle record available · service workflow in development

Vehicle records and history provide the basis for a service request and repair workflow in development. The next scope includes assessing service quality and fleet availability.

First step

From warehouse data
to questions about the process.

01 / QUESTION

Choose part of the workflow

A task, location or recurring phenomenon that needs explaining.

02 / CONTEXT

Describe the conditions

Vehicle roles, the handling of locations and the expected task sequence.

03 / ANALYSIS

Compare observations

Identify patterns and deviations within the agreed pilot scope.

04 / ACTION

Test the conclusion

Test the hypothesis with the team and agree how to assess the change.

Contact

Let’s talk about the process in your warehouse.

Describe the part of your operation that needs explaining. We can review available data sources and a possible pilot scope.

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