More Confidence in Product Decisions with AI

I use AI for many things — and it’s particularly useful for comparing products. Insurance, cars, even chain wax for my bikes. Same pattern every time.

AI helps me turn a data jungle into something manageable. Less noise, less marketing fluff — and more clarity. That leads to more confidence in the decision.

Example 1: Household insurance

Last year I reviewed my household insurance. The old contract had become too expensive, and the bike add-on was… let’s say underwhelming.

I already had a good feeling about the household tariff from my employer, Die Haftpflichtkasse VVaG. Coverage looked solid, the bike module seemed reasonable, and the employee price was hard to beat. Still, gut feeling alone is not enough.

So I compared different tariffs and prices from multiple insurers, and used ChatGPT to map them against my own requirements, including the contract documents.

Side by side. Structured. Readable.

Result: my gut feeling was confirmed. The tariff fits my needs very well — as long as no additional bike needs to be insured.

AI didn’t make the decision for me, but it made me sure about it. That matters.

Example 2: Car buying with my parents

Over Christmas I was visiting my parents. One day they mentioned thinking about a new car.

They have a photovoltaic system (PV) on the roof, so anything other than a battery electric vehicle (BEV) makes little sense.

The next day, we went car hunting. From a previous project I knew that BEVs from Kia Europe are quite solid. Google sent us to a Hyundai Motor Company dealer instead — fair enough, same group, similar quality.

After looking at several models from Hyundai as well as Kia, Škoda, and Citroën, it became clear very quickly: the Kona Electric was the best fit for them.

Then came the offers. Three nearby dealers, three very different data sheets, all structured differently.

So again: dump the data into ChatGPT and compare. The differences? Tyres, colour, and price. Everything else was identical. No surprise with preconfigured cars. In the end, price made the call.

What this shows

Comparing offers and matching them against real needs has become much easier. You don’t need to be a prompt wizard. A normal conversation already gets you very far. Not magic. Just very, very useful — and something providers will have to adapt to.

Originally posted on LinkedIn.