AxonEdge · Operational Intelligence

We turn data
into operational decisions.

Systems record events, states and plans. We connect these records with operational context to understand how processes unfold and support operational decisions.Two environments. One approach: Operational Intelligence.

Illustrative scene of a modern warehouse
Intralogistics

Forklift Monitor

Forklift data helps us understand how warehouse work actually unfolds.

Illustrative public transport interchange with bus and rail services
Public transport

TransitHub

Scheduled transport services viewed by place and time, not by operator.

Illustrative scenes

Applications
01 / Intralogistics

Forklift MonitorUnderstand the process, not just the forklifts.

See how Forklift Monitor works

Does the process need another forklift, or better work organisation?

Movement, stops and events reveal how warehouse work unfolds. Their interpretation depends on the context of tasks, locations and operating conditions.

Available now

Activity, event and zone-time reports make vehicle utilisation and recurring patterns observable.

In development

Interpreting patterns in task context and generating hypotheses for operational validation.

02 / Public transport

TransitHubConnection availability begins with a place, not an operator.

See how TransitHub works

Do many departures necessarily mean a useful service for residents?

TransitHub integrates timetables around a specific stop. It provides passengers with one view and creates a basis for assessing the scheduled transport offer.

Available now

Departure information from a selected stop, accessible on the web and via QR code.

In development

Assessing directions, frequency and gaps in scheduled services by place and time.

Products in practice

Real interfaces. Clear scope.

Forklift Monitor dashboard with demonstration data

Forklift Monitor

Fleet activity reports, events and result summaries in one interface.

Actual interface · demonstration data
TransitHub passenger information view for Tymbark

TransitHub

A shared view of departures from different operators at the selected stop.

Tymbark view · deployment in progress
Five stages of working with data

From signal to decision.

An indicator alone is not an explanation. We place observations in context, develop hypotheses, test them and assess the effects of action.

  1. 1

    Observation

    What caught our attention?

  2. 2

    Context

    Under what conditions does it occur?

  3. 3

    Hypothesis

    What could explain it?

  4. 4

    Verification

    How do we test this hypothesis?

  5. 5

    Action

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

About AxonEdge

Technology for understanding real operations.

Read more about AxonEdge →

Forklift Monitor and TransitHub apply one approach in two environments: data from real operations becomes the basis for analysis.

We develop our own software, integrations and analytical methods. The starting point is how the process works, not another system’s feature list.

Contact

Let’s discuss
your deployment.

Describe the process, its constraints or the data already available. Together we can identify questions worth investigating and a practical first step.

Prefer email?contact@axonedge-technology.com

AxonEdge Technology Sp. z o.o.
Al. Powstania Warszawskiego 15
31-539 Kraków, Poland

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