I'm a little supprised booking platforms aren't doing enough to handle this. It feels like it could be solvable if the platform got told about no-shows you could at the very least blacklist that email address (or require payment upfront for them) or set a bit that previous customers don't pay a deposit.
Of course this is also a classic application for ML, if you track enough metadata and know about no-shows then I imagine you get to squash 99% of this problem, and if the restaurant gives you the ability to require a deposit then just shove any users with a bad score down that path rather than reject entirely.
public link from MSN https://www.msn.com/en-gb/money/topstories/top-london-restau...
This is a great idea.
I'm a little supprised booking platforms aren't doing enough to handle this. It feels like it could be solvable if the platform got told about no-shows you could at the very least blacklist that email address (or require payment upfront for them) or set a bit that previous customers don't pay a deposit.
Of course this is also a classic application for ML, if you track enough metadata and know about no-shows then I imagine you get to squash 99% of this problem, and if the restaurant gives you the ability to require a deposit then just shove any users with a bad score down that path rather than reject entirely.
Good! Last minute cancellations are total killers for restaurants.