The challenge
The operation runs on several separate systems and spreadsheets side by side. Data is scattered, there's no single source of truth, and information gets re-keyed from one system into the next.
The AI brokering platform already sorted out matching cargo to vessel capacity. The next step is bigger: a core that pulls chartering, fleet, planning and invoicing into one coherent system, built on AI from the foundations up rather than tacked on afterwards.
Our approach
- 01
Scope document before the quote
For each module we set out what we're building and why: scope, assumptions and timeline. We agree that scope document together before talking price. Once it's signed off, we work it up into a PRD that's ready to build from.
- 02
Custom AI-native ERP
Off-the-shelf packages bend your processes to fit them. Here it's the other way round: a digital twin that follows the shipping company's processes exactly, with AI built into every module rather than sitting in a layer on top.
- 03
Building in phases with go/no-go
We deliver working software module by module. Each phase ends with a test against the real operation and an explicit go or no-go before we carry on building.
- 04
Building on what already runs
The existing AI brokering platform and the integrations already running in the company's own environment stay the starting point. The digital twin grows around them, and the shipping company owns it.
The result
The project is still live. The first modules are in development and are being tested against the real operation step by step. As soon as modules go live, we'll add concrete figures to this case.
The direction is clear: one AI-native system that runs the whole chain, owned by Rederij de Jong, with no lock-in.