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MAKOR in your industry.

Everywhere, data sits in many systems. What it means depends on the industry. Six focus areas show how MAKOR works there, each with an example.

Focus area 01

Industry & manufacturing

Machines, quality inspection, purchasing and maintenance generate data in their own systems. MAKOR connects them, so you identify causes instead of managing symptoms.

Impact example · fictional sample data
Starting point

The scrap rate on a production line is rising.

What MAKOR shows

MAKOR connects sensor data, maintenance logs and the supplier’s batch data. The deviation begins with a new material batch. Measurements are missing for two shifts, and MAKOR names this gap.

Who decides

Production management decides whether to block the batch.

Focus area 02

Energy & utilities

Grid loads, maintenance windows, weather and asset data are scattered. MAKOR brings them together, so you see bottlenecks early and can justify measures.

Impact example · fictional sample data
Starting point

A maintenance window is due for a substation.

What MAKOR shows

MAKOR connects load profiles, weather data and the condition of neighbouring assets. It shows when the risk of a bottleneck is lowest and names the source and confidence for every assumption.

Who decides

Grid operations sets the maintenance window.

Focus area 03

Agriculture & food

Field data, weather, inventory and traceability records are spread along the whole chain. MAKOR connects them, so you can prove origin and spot risks early.

Impact example · fictional sample data
Starting point

A processor receives a notice of possible contamination.

What MAKOR shows

MAKOR traces the goods back through delivery notes, stock movements and batches. It shows which deliveries may be affected and for which ones records are missing.

Who decides

Quality assurance decides on the recall.

Focus area 04

Circular economy & resources

Material flows, compositions and take-backs are spread across many partners. MAKOR connects them, so you know what is in your materials and where they go.

Impact example · fictional sample data
Starting point

A customer asks about the share of secondary raw material in a delivery.

What MAKOR shows

MAKOR brings together incoming weighings, lab analyses and outgoing batches. For each batch you can see where the evidence comes from and how current it is.

Who decides

Sales releases the evidence.

Focus area 05

Security & critical infrastructure

Reports, sensors and open sources come in different formats. MAKOR connects them into a situational picture in which every statement carries its source, even in air-gapped operation.

Impact example · fictional sample data
Starting point

After a severe storm, a crisis team needs a picture of the situation.

What MAKOR shows

MAKOR connects reports, map data and sensor readings into a situational picture. It marks which statements are confirmed and where feedback is still missing.

Who decides

The crisis team decides where the emergency services go first.

Focus area 06

Logistics & supply chains

Shipment data, supplier registers and events sit in many systems and with many partners. MAKOR connects them, so you see dependencies before they turn into outages.

Impact example · fictional sample data
Starting point

A supplier reports an outage.

What MAKOR shows

MAKOR connects supplier registers, orders and inventory. It shows which products are affected, across which tiers the dependency runs and where information on sub-suppliers is missing.

Who decides

Purchasing decides which alternatives to activate.

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