Suttons Group Deep-Dive

Container Flow Optimization

person Asset Management Data Analyst

calendar_today June 2025 - Sept 2025

location_on Liverpool, UK

The Challenge
& Impact

In the high-stakes world of global logistics, asset utilization is the difference between operational excellence and wasted capital. The primary goal was architecting a sophisticated simulation model for tank container flow, enabling Suttons Group to predict and mitigate bottlenecks across international shipping lanes.

hub

12% Utilization Boost

340+ Depots Analyzed

Real-time Flow Predictions

Global Asset Tracking

Engineering Architecture

database

Data Modeling

Evaluating multi-layered inventory dynamics and customer demurrage patterns to identify hidden costs in the asset lifecycle.

Inventory Analytics

terminal

Simulation Engine

Python-based flow modeling engineered to analyze complex global depot movements and simulate "what-if" disruption scenarios.

Predictive Modeling

insights

Strategic Allocation

Improving regional resource allocation through data-driven insights, ensuring containers are positioned where demand peaks.

Operational Strategy

System Technical Stack

table_chart

Excel Advanced

code

Python / Pandas

database

SQL / PostgreSQL

Ready for deep analysis?

Explore the full technical documentation, methodology, and comprehensive results of the Container Flow Optimization project.

View Full Report open_in_new