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I would guess one of the top questions is availabilityAfter giving this a quick thought there is technical way to solve this. I would start by isolating the data stream prior to cars being removed from the dealers inventory. Look at things like open deals, shown appointments and leads on that car with a lead type of showroom. Then make a prediction based on those leading input features as to whether the car is gone. Train the data in a test environment and rinse repeat until it is correct. You can also broadcast a SMS to mgmt to quick respond y/nThis seams pretty solvable!
I would guess one of the top questions is availability
After giving this a quick thought there is technical way to solve this. I would start by isolating the data stream prior to cars being removed from the dealers inventory. Look at things like open deals, shown appointments and leads on that car with a lead type of showroom. Then make a prediction based on those leading input features as to whether the car is gone. Train the data in a test environment and rinse repeat until it is correct. You can also broadcast a SMS to mgmt to quick respond y/n
This seams pretty solvable!