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International Supply Chain · Logistics

Dynamic Logistics Routing

Agentic AIOptimisationLogistics

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

Dynamic Logistics Routing

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 AIOptimisationLogistics

The Outcome

Measurable Results Delivered

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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