International Supply Chain · Logistics
Dynamic Logistics Routing
Built an autonomous multi-agent system that continuously recalculates optimal shipping routes based on live weather, port congestion, and pricing signals.
Primary Impact
14% cost reduction
Industry
Logistics
Engagement
End-to-End Delivery
The Challenge
The Problem We Were Brought In To Solve
Static route planning was costing the client millions in avoidable delays. We deployed a multi-agent orchestration system with a continuous planning loop that processes live weather feeds, AIS vessel positions, and spot freight rates.
Our Approach
How We Engineered the Solution
Our team conducted a rigorous discovery process to understand the client's existing data landscape, systems architecture, and team capabilities. We designed a bespoke solution architecture tailored to the client's constraints — balancing performance requirements against infrastructure cost, regulatory compliance, and maintainability. Every design decision was validated against the primary success metric before a single line of production code was written.
Agentic AI
Optimisation
Logistics
The Outcome
Measurable Results Delivered
Primary Metric Achieved
14% cost reduction
The solution was deployed to production within the agreed timeline, with full handover documentation, operational runbooks, and a 90-day monitoring period to ensure stability. The client's team was trained on the new platform and the system has continued to perform within SLA parameters since launch.
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