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Could that be solved with a little data mining? For instance, you could look at the time stamp of the sales receipts for particular services over the course of a year and figure out what days and times are historically heavy. Then when the person fires up the app it compares the time stamp on the phone with the info in your database. If it's at a historically low volume time you could show them a green light, etc...It would't be real-time but it would be close.
Could that be solved with a little data mining? For instance, you could look at the time stamp of the sales receipts for particular services over the course of a year and figure out what days and times are historically heavy. Then when the person fires up the app it compares the time stamp on the phone with the info in your database. If it's at a historically low volume time you could show them a green light, etc...
It would't be real-time but it would be close.
