The central moment of the engagement wasn't a coaching moment, but a substantive argument with the CEO.
The principal competitor advertised AI functionality on its website — specifically predictive maintenance — as a unique selling point. From the executive board came a clear expectation: Kardex must have it too. Not “someday”, but as part of the current IIoT product.
I asked for the chance to talk to customers before the roadmap decision. I got it. Through business development we could reach not only existing customers but also customers of the competitor. What the conversations brought back came down to two points.
First: the competitor had the terms on the website but no substance behind them. Predictive maintenance was advertised as a feature without the customers we spoke to having experienced it in daily operation. It was a marketing artefact, not a product.
Second — and this is the real point: the customers didn't want predictive maintenance at all. They wanted two other things: more efficient spare-parts mapping — i.e. faster knowledge of which part to get where — and preventive maintenance, i.e. planned replacement before failure.
The logic behind it, once heard, is hard to refute. When the machines stand still, they don't earn money. Predictive maintenance promises to forecast a looming failure before it happens. But that forecast must be followed by preparation and reaction time long enough to procure the right spare part and dispatch a service technician — otherwise the prediction lengthens the standstill rather than shortening it.
The recommendation to the CEO was accordingly: no AI feature into the product because the competitor advertises it. Instead — what the customers actually wanted: better spare-parts logic, cleanly implemented preventive maintenance.
The CEO went with that recommendation.