Intelligent Logistics & Fleet Management Software

Transport and logistics run on timing, visibility, and coordination — exactly the kind of complex, real-time problems applied AI is built to help solve. CodeAutCam engineers intelligent logistics platforms that improve fleet visibility, optimize routes, and keep operations moving.

Across Africa, transport can represent a significant share of the final cost of goods. Combined with customs complexity, operational delays, and limited supply-chain visibility, these challenges reduce profitability and slow growth. Using Microsoft .NET technologies and more, we develop intelligent logistics platforms offering real-time fleet tracking, shipment visibility, route optimisation, digital documentation, and operational analytics — helping transport and logistics companies move goods more efficiently and at lower cost. (Insight adapted from AGL Group's research on African logistics.)

Our experience runs deep: we've worked for TGW Logistics, a global logistics leader offering a comprehensive suite of end-to-end automated systems and modular technologies.

We also build and operate our own transport platforms. Smart Vehicle Booking & Fleet Management Platform (jelouetacaisse.com) — a live vehicle-rental marketplace we designed, built, and operate, connecting owners and renters with listings, search, subscriptions, and payments at scale. It's proof that we don't just build transport software for others; we operate our own, with real users and real revenue depending on it every day.

When large conferences need to move hundreds of delegates on tight schedules, transport becomes a logistics operation in its own right — vehicles, routes, drivers, arrivals, and last-minute changes all have to stay coordinated in real time. We built the Conference Transport Operating System to run exactly that: an intelligent platform that manages fleet allocation, route and schedule optimization, dispatching, and live operational visibility for conference mobility. It's a clear example of Applied AI thinking — taking a complex, high-pressure logistics problem and engineering an intelligent system that keeps everything moving.

This is applied AI in practice: from route and schedule optimization to real-time operational intelligence, we build systems that turn logistics complexity into coordinated, efficient movement.