AI forecasts increasingly describe companies moving from general experiments towards vertical applications.
Vertical AI works within a specific area of work. This matters in logistics.
A logistics AI system reading a transport permit needs to identify which condition applies to which transport, who should receive a follow-up question and where a person must decide.
When preparing an email, it needs to account for the operational consequences of an incorrect or premature message.
For dispatch, the working context includes time windows, vehicles, people, customer pressure, documents, conditions and improvisation.
We expect systems that understand this work to shape the next phase of AI in logistics. They need small, concrete capabilities, sound data, clear guardrails and traceable steps. Decisions remain with the people responsible.
This approach is useful precisely because it addresses everyday work.
AI know-how for logistics professionals in 2 minutes
What is vertical AI?
Vertical AI serves a specific industry or work process.
General AI can:
- Explain many subjects.
- Write texts.
- Recognise general patterns.
Vertical AI:
- Knows typical documents.
- Knows roles and process steps.
- Knows technical terminology.
- Recognises relevant exceptions.
- Connects to specific tools.
- Works within defined guardrails.
At ViMoKi, we work on AI for dispatch, transport permits and transport documents.