Sithari Cars: AI Price Prediction for Vehicle Imports

The business question

Pricing an imported vehicle for the New Zealand market is a specific commercial decision. Sithari Cars needed a way to use AI to inform that decision. HighFlyer developed a price prediction system for automotive imports to support its pricing work.

This is an example of applied AI aimed at a defined business problem. The value lies in helping people make a better-informed judgement about an individual vehicle, rather than treating a model’s output as an automatic final price.

What we built

We developed a system that produces price predictions for imported vehicles in the New Zealand context. Its purpose is to give the Sithari Cars team a useful reference point when considering pricing, while leaving the commercial decision with the people who know the vehicle and the market.

The project shows how AI can be shaped around a particular operating context. A useful prediction system needs to address the question the business actually faces and present its output as decision support. We do not publish private implementation details or performance figures for this project.

What this brings to our training

We bring examples from our own delivery work into HighFlyer’s bespoke AI training. The Sithari Cars project gives us a concrete way to discuss model selection, cost, data and human oversight in an automotive setting. It keeps the conversation grounded in what a business would need to decide before applying AI to a real workflow.