The right POC does not try to prove everything. It proves enough to decide whether the digital twin should grow, what architecture it needs and which data actually matters.
Define an operational question
Before choosing technology, define what decision or explanation the POC should improve: monitoring, training, reception, diagnostics, simulation or customer communication.
- Who will use it?
- What should they understand better?
- Which data or state changes the conversation?
- What would count as evidence of value?
Choose a small but representative pilot scope
It can be a cell, line, warehouse, material flow or equipment family. The key is enough complexity to test integration, visualization and experience without modeling the entire plant.
Validate data and 3D from the start
A useful POC combines a 3D model, data sources and behavior. Even if some data is simulated at first, it should be clearly labeled so a demo is not confused with real operation.
Use the POC to measure CAD complexity, visual performance, data availability and user acceptance. If something fails here, it is better to learn before scaling.
View digital twin service ↗Success criteria
Define criteria before building. Examples include fluid loading, reliable data, clear navigation, understandable states and a technical path for the next scope.
- Goal demonstrated.
- Data sources are viable.
- Performance is acceptable.
- 3D model fits the use case.
- Users understand the value.
- Next-scope risks are identified.
Recommended next step
Select a pilot area and create a minimum inventory: available CAD, data sources, users, target device and operational question. With that, a concrete POC can be defined.
Want to validate a digital twin before scaling?
Axyz can help define a useful and technically viable POC.
Frequently asked questions
How large should a POC be?
Large enough to validate value and feasibility, not necessarily the whole plant.
Can it use simulated data?
Yes, as long as simulated data is clearly separated from real data and not presented as live operation.
What determines whether it moves to the next phase?
Demonstrated value, available data, acceptable performance and a clear expansion path.