LOGISTICS ADVISORY
Data and analytics for logistics
Turn disparate operating sources into agreed metrics, causality and decisions.
Discuss the task ↗Why buying a system does not solve the problem
OTIF, utilisation, cost per trip or warehouse productivity change nothing without shared definitions, lineage and an owner for the response.
A metric should explain an action, not merely decorate a dashboard
- Shared data model
- KPI dictionary
- Quality and reconciliation
- BI and decision loop
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