ClientMaritime transport & freight logistics
SectorMaritime transport & freight logistics — Data-driven app
DurationTo be specified
Ulenia teamData app · AI/ML · Capacity Management
Cargo Flow: Global Capacity Steering

Simulating freight flows to optimise global vessel capacity.

FF
Filling factor
ML
Predictive engine
DATA
Multi-source
WW
Global network
§ 01

Challenge

The challenge was to maximise total vessel capacity utilisation across the group by making operations and sales converge around the same capacity truth.

The objective was to replace fragmented processes with a centralised tool able to simulate freight flows and optimise global line filling in the face of complex demand.

§ 02

Data architecture & simulation

Ulenia supported the deployment of the Cargo Flow Application, a simulation and steering cockpit based on large-scale operational data exploitation.

The solution combines multi-source data integration, capacity simulation and an AI/ML predictive engine to support arbitration between local demand and headquarters objectives.

01
Cargo Flow Simulation Cockpit
A pivotal tool to simulate loading scenarios and identify profitability levers by line.
02
Capacity steering
A centralised view of available capacity to maximise total vessel utilisation across the group.
03
Multi-source integration
Consolidation of legacy flows: bookings, agent forecasts, vessel schedules and routing constraints.
04
Unified data platform
Structuring operational and commercial data into a shared base usable by teams.
05
AI/ML predictive engine
Machine Learning to anticipate capacity variations and recommend relevant trade-offs.
06
Sales-operations alignment
A shared interface to align local demand, headquarters objectives and network constraints.
§ 03

Impact

Capacity management: optimisation of vessel filling factor across the global network.

Strategic decision support and operational efficiency: real-time alignment between commercial and operational teams, plus automation of booking data and routing-constraint processing to reduce planning errors.