ENPAK
Accounting, ERP and production data
Explore the projectBring company data, from production and accounting to energy and stock management, together in your factory’s own AI data centre.
ON-SITE AI DATA CENTREAETHER AI can be adapted to the needs of every sector. Existing software and data sources come together in one centre around your business needs.
Accounting, ERP and machine data at ENPAK; energy management at Gelal Çorap. Explore the work delivered in our projects.
Accounting, ERP and production data
Explore the projectFacility and solar energy management
Explore the projectFollow the same order from inventory to machines, energy and accounting. Every step connects to the same record in the on-site AI centre.
AI
Illustrative facility · Data from the highlighted area connects to the on-site AI centre.
The facility image could not load. Follow the order using the steps above.
The order number connects records across departments. Management sees production progress and costs for the same order together.
Explore the data centre in the factory ↗1,350 kg of Material A is planned for 27,000 units of Sample Product A. The allocated 1,500 kg covers the entire order.
There is 257 kg in stock against a remaining requirement of 107 kg. An estimated 150 kg will remain after the order.
Order record + inventory movements + part weightAssess machine output, energy consumption and accounting impact together. Select a data source to see what reaches the centre.
Illustrative data · Example scenario
These examples show the management view created when data from different departments is considered together.
Machine downtime, shift targets and quality results are assessed in one view.
Example next step: examine downtime causes and affected machines.
Machine records · Production plan · Quality controlData sources and use cases are considered alongside the factory’s physical infrastructure.
Data sources, priorities and use cases across production and company systems are identified.
On-site server, power and network infrastructure is prepared around usage requirements.
Machine and business-system data is brought together in a structure that supports joint analysis.
Data flows, user access and selected scenarios are checked before going live.