One data hub. Many applications.

One question, all your systems

You ask one question in plain language across TMS, WMS, fleet and telematics together.

Trip	Ghent → Lyonfrom the planning
Temperature	−18.2 °Cfrom the telematics
Door	Closedfrom the telematics
Inspection	in 12 daysfrom maintenance

Works with

TMS
WMS
fleet management
telematics
HR
accounting

Situation: If you want to know which trips were delayed last month and where the delay arose, someone has to gather data from three or four systems.
What the hub does: Connectors pull the data from each system. In the hub, every data point gets a fixed name and context, so that a trip in the TMS and the same trip in the telematics belong together. You ask your question with the AI subscription you already have.
What you gain: One place to ask questions. A fast diagnosis when something goes wrong. Analyses of your processes the moment the question arises.

Discrepancies between TMS and WMS stand out

Discrepancies caused by double entry stand out before they affect the planning or the invoice.

Works with

Situation: The same order is in the TMS and in the WMS. One typo, and the planning or the invoice is no longer correct.
What the hub does: The hub sets the data from both systems side by side and flags the discrepancies to whoever needs to correct them.
What you gain: Fewer errors and less rework. Your planners plan on data that is correct.

Driving and rest times next to the planning

HR data and driving and rest times in the same view as the transport planning.

Trailer on the motorway, seen from behind

Works with

HR
driving and rest times
on-board computers
TMS

Situation: The planning is in the TMS, the driving and rest times in another system and the personnel data with HR. Whoever plans has to put them side by side themselves.
What the hub does: The hub brings the three sources together, without anyone having to supply the data again. An AI agent flags when the planning and the driving and rest times do not match.
What you gain: HR data becomes usable in operations, without extra input. Your planner sees the complete picture in one place.

The same KPIs for every site

One dashboard with the same key figures for every site.

Works with

TMS
WMS
fleet management
Power BI

Situation: Every site reports in its own way. Comparing figures takes time and discussion.
What the hub does: The hub brings the data of all sites together with the same names and definitions. On top of that we build targeted KPI dashboards. If you already use a BI tool such as Power BI, it gets the data from the hub.
What you gain: You evaluate the past period on facts and adjust course for the next. The managing director gets one reliable overall picture.

Dispatch knows straight away

If a trailer is not at the agreed location, dispatch gets a notification straight away.

Works with

TMS
trailer tracking

Situation: A driver has to leave their trailer at a secure car park. If that does not happen, you only notice when something goes wrong, such as theft of the load.
What the hub does: The TMS knows where the trailer should be, the tracking where it is. The hub sets both side by side live. If they do not match, dispatch gets a notification straight away. The dispatcher decides what happens, for example asking the driver to take the trailer to the secure car park.
What you gain: You intervene before there is an incident. You prevent a damage claim, instead of having to explain it afterwards to your customer and your insurer.

Temperature deviation in a refrigerated trailer

If the temperature in a zone of a refrigerated trailer stays above the setpoint for too long, the planner gets a notification straight away, with escalation and a report on the trip.

Works with

telematics
planning

Situation: The temperatures are in a different portal from the planning. A deviation is only seen if someone happens to look, and by then it is often too late.
What the hub does: One rule applies to every refrigerated trailer, including the trailer you add tomorrow: if the temperature in a zone stays above that zone's setpoint for too long, the hub reports the deviation and records it on the trip. Every deviation is on the timeline, with start, end and highest value.
What you gain: The planner gets a notification straight away. If the notification is not acknowledged, it escalates. For a complaint or audit the report is ready, and your customer can follow their own shipments if you wish.

Energy

One view across all portals

The data from every monitoring portal comes together in one hub, whatever the brand or year of construction.

Works with

monitoring portals
inverters
energy meters
SCADA

Situation: You inherit installations from installers and project developers, and with them their portals. Every morning someone logs in to a dozen systems to get one picture.
What the hub does: One connector per portal retrieves the data. In the hub, every data point gets a fixed name and context, so that installations of different brands become comparable. This approach is called a unified namespace.
What you gain: One screen instead of ten logins. You also set up uniform notifications for all assets, including those added in the future.

Asking questions about your whole park

You ask in plain language which installations performed below expectations. Overall Equipment Effectiveness (OEE) becomes a conversation in which the right conclusions are drawn straight away.

Measurement with a multimeter in a switch cabinet

Works with

monitoring portals
maintenance management

Situation: Production, faults and interventions are in different portals and lists. Answering a question about the whole park takes a lot of searching.
What the hub does: The hub stores the current and historical data of all portals and of your maintenance data. You ask your question with the AI subscription you already have.
What you gain: A fast diagnosis across all your installations. Decisions based on all the facts.

Planning, technicians and invoicing in the same view

Not only your installations, but also your technicians, planning and invoicing in one hub.

Technician with helmet and high-visibility vest in a solar park

Works with

monitoring portals
planning
HR
finance
contract management

Situation: A monitoring platform shows the installations. But who carries out which intervention, what the contract says and what was invoiced is somewhere else.
What the hub does: The hub brings the installation data together with your planning, your personnel data, your contracts and your invoicing. That is where a data hub differs from a monitoring platform that only shows installations.
What you gain: One overall picture of your operations, not just of your installations. For example, you see the operational improvement after maintenance or an intervention.

One reporting layer across all technologies

The same KPIs for every installation and every park, across brands.

Works with

monitoring portals
energy meters
Power BI

Situation: Every portal reports in its own way. Comparing production, consumption and availability across parks is manual work.
What the hub does: On the combined data we build targeted KPI dashboards per period, for your own follow-up and for reporting to the owners of the installations. Your BI tool can use the data from the hub.
What you gain: You evaluate the past period on facts. You get one reliable overall picture across technologies. Uniform notifications make setting priorities simple.

Faults reported without logging in first

The right person gets a notification, without anyone first opening the right portal.

Works with

monitoring portals
planning

Situation: A fault goes unnoticed until someone happens to open the right portal.
What the hub does: Algorithms follow the data of all installations live. On a failure or deviation, a notification goes to whoever needs to know. Who gets which notification is agreed with you per project.
What you gain: You see a fault when it occurs, not afterwards. You adjust course while it still counts.

From fault to intervention proposal

Your planner gets an intervention proposal that they approve themselves first.

Works with

monitoring portals
maintenance management
planning

Situation: After a fault, the planner has to work out which technician is available, what is already scheduled and what the contract provides for.
What the hub does: An agent sets the fault signal next to the planning and the maintenance history and proposes an intervention. The planner approves every proposal themselves.
What you gain: Your planner can bundle and prioritise interventions based on live data. You stay at the helm.

Industry

Machine data next to orders and planning

Measurements and transactions in one hub, with one name and context per machine or order.

Works with

PLC
SCADA
ERP
MES

Situation: When there is a deviation on the line, nobody knows straight away which order and which customer are affected. That information is in another system.
What the hub does: Connectors pull the data from the machine control, from SCADA and from your ERP or MES. In the hub, everything gets a fixed name and context. This approach is called a unified namespace.
What you gain: When there is a deviation, you see straight away which order and which customer are affected. Fast diagnosis across systems.

Older installations in the picture too

Installations of different generations and brands connected, without replacing them.

Industrial silos with an elevator and stairs

Works with

PLC
SCADA
existing monitoring

Situation: Alongside new lines, older installations are running, each with its own control and monitoring. They stay out of the picture.
What the hub does: For every data source we find out how to get the data out, whatever the brand or year of construction. You do not need your own IT department. We coordinate with the suppliers of software solutions and sensor systems. Every system that handles data is a potential source we connect.
What you gain: One view across all your installations, old and new. No large migration.

KPIs and OEE across lines and generations

The same key figures for old and new installations.

Works with

PLC
SCADA
ERP
Power BI

Situation: Every line measures differently. Comparing OEE, the key figure for the availability, performance and quality of an installation, across lines means calculating in Excel.
What the hub does: On the combined data we build targeted KPI dashboards with the same definitions for every line. Your BI tool can use the data from the hub.
What you gain: You evaluate the past period on facts and adjust course for the next. One reliable overall picture for the managing director or operations manager.

Evaluating deviations with the history

Finding in one place which changes were made when in process, orders and planning.

Works with

all connected systems

Situation: A deviation keeps coming back. To find the cause, the quality department gathers data from different systems.
What the hub does: All data is stored in the hub with a timestamp. So you see which changes were made when, even if an AI agent made them, next to the process data of that moment.
What you gain: Searching for the cause in one place, without gathering data together. A basis for tackling recurring deviations structurally.

Flagging exceptions live

The right person gets a notification while they can still adjust course.

Works with

PLC
SCADA
MES
ERP
planning

Situation: A deviation only surfaces in the end-of-week report, when the damage has already been done.
What the hub does: Algorithms follow the data stream live and flag what needs attention. Who gets which notification is agreed per project. At first, your team approves every proposal. Only after a validation period, and only where possible and where we activate it together with you, can an algorithm intervene automatically.
What you gain: You adjust course during production, not afterwards. You stay in control.

Across sectors

Asking questions of your own data

You ask questions in plain language of an AI model that knows the data from all your systems.

Three trips. Two have been acknowledged and closed, one is still awaiting release by quality.

Trip	Customer	Duration	Max
Ghent → Lyon	Customer A	40 min	−12.5 °C
Antwerp → Lille	Customer B	18 min	9.1 °C
Ghent → Brussels	Customer C	16 min	−14.2 °C

Works with

all connected systems
your own AI subscription

Situation: An operational question that needs data from several systems stays unanswered because nobody has the time to gather everything together.
What the hub does: The hub brings the current and historical data of your systems together, with one fixed name and context per data point. You ask your question with the AI subscription you already have, within the permissions you set.
What you gain: An answer from one place. The management formulates and prioritises initiatives based on facts.

Which changes, and when

You can trace which changes were made when in transactions, master data and planning, even if an AI agent made them.

Works with

all connected systems

Situation: After an incident or complaint, it is hard to reconstruct what changed when in which system. Now that AI agents also make changes, this becomes even more important.
What the hub does: All data enters the hub with a timestamp. This automatically builds a history of which changes were made when, across all your systems.
What you gain: You find the cause and can prevent it happening again. A strong basis for compliance and audits.

Discrepancies between systems stand out

The hub flags discrepancies between systems, for example caused by double entry.

Works with

all connected systems

Situation: The same data is entered twice, resulting in errors.
What the hub does: The hub sets the data from your systems side by side and flags the discrepancies to whoever needs to correct them. Doubtful cases go onto a task list: the AI assistant makes a proposal, a person approves it.
What you gain: Discrepancies caused by double entry become visible and can be corrected.

One live overview, whatever you monitor

Every object with its live value and status, from trailer to compressor, in one overview.

Works with

sensors
telematics
machines
planning
ERP

Situation: The planning is in one system, the temperatures in another portal and the rest in Excel.
What the hub does: Everything that comes in about a trailer, machine, building or field plot comes together on that object. You keep working in your own systems. The hub reads along and makes the connections.
What you gain: One overview, whatever you monitor. You see straight away what deviates.

Everyone sees what they are allowed to see

You decide per person and per object who may see, change or control what.

Who	See	Change	Control	Manage
Plannerall trailers	✓	✓	✓	–
Driverown trailer	✓	–	–	–
Qualitysensitive trips	✓	✓	–	–
Your customerown shipments	✓	–	–	–
Administratoreverything	✓	✓	✓	✓

Works with

all connected systems

Situation: Planners, drivers, the quality department and your customer work with the same data, but not everyone should see everything.
What the hub does: You decide per person and per object who may see, change, control or manage what. Your people have their own portal, on PC, tablet and mobile phone.
What you gain: Your customer can follow their own shipments, if you wish. Your AI assistant, too, only sees what you yourself are allowed to see.

Every figure traceable to its source

In the hub you see, for every figure, which source and which calculation it comes from.

Works with

all connected systems
your BI tool

Situation: A figure in a report raises questions: where does it come from, and is it still correct if a source changes the past?
What the hub does: You define rules and calculations once on an object type. For every figure you see which source and which calculation it comes from. If a source changes the past, the hub recalculates the results.
What you gain: Always the same, cleaned-up figures, for everyone. Your analysts keep working with what they know.

Enter once

The input from one master system flows through to the other systems.

Works with

all connected systems
broker

Situation: Your administration enters the same data in several systems. That takes time and leads to errors.
What the hub does: You agree which system is the master system. Via the broker, an intermediary that passes messages between systems, the input from that system also appears in the others.
What you gain: Enter data once. Less time spent on double entry, fewer errors.

Escalation if nobody responds

If a notification is not acknowledged in time, it goes to the next person or to another channel.

Works with

app
SMS
phone

Situation: Who was alerted and what was done is not recorded anywhere. For a complaint or audit, you piece it together afterwards.
What the hub does: When there is a deviation, the right person gets a notification. If it is not acknowledged in time, the hub escalates to the next person or to another channel. You decide who, via which channel and after how many minutes.
What you gain: Every step is recorded: who was alerted, who acknowledged and what was done. For a complaint or audit the report is ready.

One rule for your whole fleet

You set a rule once on an object type. It applies to every object of that type, including the object you add tomorrow.

Works with

all connected systems

Situation: Every new trailer, machine or installation requires the same settings and calculations all over again.
What the hub does: You define rules and calculations once on an object type. The hub applies them to every object of that type: live, on every new measurement, and over the history, such as deviations per trip, totals per month or trends per customer. If a source changes the past, the hub recalculates the results.
What you gain: Your fleet grows, the work does not.