Custom AI Model Development

Explore
Together we determine which problem the model needs to solve. Think of estimating volumes more accurately, recognising high-risk shipments or filling in missing data. A sharp question is the basis of a good model.

Collect and prepare data
We map out which data is available in OrangeChain and in your own systems. Where necessary, we clean the data and make it suitable for training.

Develop and train
The model is developed and trained on your historical data, supplemented with logistics knowledge from our Domain-Specific Logistics Models.

Validate
Before a model goes into use, we test its outcomes against reality. Only when the model demonstrably performs reliably does it go live.

Implement and keep developing
The model runs directly in OrangeChain, in your day-to-day processes. After go-live, we keep tracking its performance and improve the model as more data becomes available.

• Tuned to your data, not to that of an average shipper
• Focused on your challenge instead of a general function
• Ready to use in your existing processes via OrangeChain
• Grows with you: the model gets better as your dataset grows