One example is tracking the movement of staff. There is a very cool retail analytics company that produces heat maps based on computer vision processing of the security cameras in stores. These systems are amazing, they can create heat maps that show the movement of people around the store and show the dead zones as blue and the hotspots of activity as red. Great to know if you are arranging items in the store to maximize your dollars per square foot. This technology is so sophisticated that it can tell not only the gender of the people walking the floor but their age and their mood … (apologies in advance for the stereotyping) so yes you can tell that there are a lot of unhappy older men huddled by the changing rooms in at Neiman Marcus, while the younger women they are with are in the changing rooms … although you probably didn’t need 21st century computer vision to tell you why. The thing the computer has a hard time doing is distinguishing between customers and employees, so the fact you have a lot of people by the cash register may just indicate your staff have nothing better to do, not that you are succeeding in driving traffic there.