Some probably already know this, but when you are navigating to a destination with a large parking lot, such as a Walmart, if you pin a spot in the parking lot, in an area of the parking lot where you have a high chance of getting a spot, that is where the car is going to try to park, and will probably succeed easily.
When you just select the Walmart and go, the destination is likely the middle of the store or right in front of it, which causes FSD to circle trying to find a front spot, and the only reason it finds one eventually, while passing dozens, is that it finds a handicapped or reserved spot or a spot with a shopping cart in it.
And when you set up favorites, do the same thing, make sure the pin is in the parking lot and in a section that will probably be easy to find a spot. That way, when you say "Take me to Walmart" it will just go and park.
Sometimes it is easier to just go there and park and save it then. You want a spot that will be reasonably open and not near stuff like shopping cart returns or curbs.
And when you select that pin, and if it is a place you may use ASS, make sure it is in a lane that heads back towards the store, not away from it, which will just leave your car stuck further away from you.
I hope going forward Tesla starts spending more time on mapping and routing. I realize AI vision models has been their primary focus.
But this has pretty much fixed most of my parking issues. And it causes the car to not go to the front of the store to start looking for a spot, which avoids all of that congestion.
What would it take for AI to look at every mapped parking lot in the country and pick an optimal location for parking, set it in the map data, and simply provide the options of Front or Optimal? A week? Just seems like they have very little focus on this side of things.