> No idea what `luxury` is doing here, but if I get an LLM receptionist, that ain't it.
Bingo.
You can't get away with AI slop in a service oriented for wealthy customers.
The day my dealership starts answering me with AI they lose a customer 100%.
This solution screams "built by a tech bro with no idea about economics and marketing" which is the VC playbook into modernizing (and failing) businesses they don't understand.
> This solution screams "built by a tech bro with no idea about economics and marketing" which is the VC playbook into modernizing (and failing) businesses they don't understand.
I think you need to be better at self reflection. A tech bro who read a blog post and immediately accused the author of being "a tech bro with no idea about economics and marketing", and assumed that they didn't understand the business they built a software for.
As for AI for luxury services, you didn't look hard enough. See for example discussion of what Langham Hotel Group is doing with AI. Granted, nothing earth shattering:
You are right, but this also isn't a luxury mechanic shop. A luxury mechanic shop would be a place that services and customizes Bentleys, RRs, vintage Ferraris and similar. And to your point, the clientele there will be extremely unimpressed if they are asked to speak with an AI. A place like that is as much about being pampered by staff as about the workmanship.
OP's brother is by all accounts running a successful boutique workshop, but the various luxury annotations were completely unnecessary and just detract from the actual project. If they do want to lean into the luxury segment, being cheap with AI receptionists is not the way to go. They need to hire actual staff who has experience with HNW individuals.
Bingo.
You can't get away with AI slop in a service oriented for wealthy customers.
The day my dealership starts answering me with AI they lose a customer 100%.
This solution screams "built by a tech bro with no idea about economics and marketing" which is the VC playbook into modernizing (and failing) businesses they don't understand.