LOGISTICS ADVISORY
AI and intelligent automation
Automate orders, documents, correspondence and exceptions with human oversight.
Discuss the task ↗Why buying a system does not solve the problem
Useful logistics AI is embedded in a process: it reads a document, validates data, explains an exception and hands the decision to an accountable person.
AI receives a narrow role, grounded source and authority boundary
- Documents and orders
- Anomaly detection
- Dispatcher assistants
- Human-in-the-loop and audit
We work on the client side: capabilities, products and integrations are tested against the target operating journey.
Our approach
From the question to a decision.
- 01
Diagnose the operation
Capture goals, processes, systems, data, losses and constraints.
Current-state map - 02
Design the target model
Design roles, events, data, integrations and outcome criteria.
Architecture and requirements - 03
Select and deliver
Compare options, shape the backlog and govern short delivery waves.
Working journey - 04
Accept and improve
Validate end-to-end journeys, hand over operating rules and prioritise improvements.
Governed improvement