Currently, most stores are blind when trying to deduce what actually takes place when a customer visits them. They know what goes into their point-of-sale system but how many peoplecame in, who they are and what they did while in the shop is a mystery.
What we can supply is much better, we can identify the customers' in-store behavior with such information as the number of people that passed the shop and the number that entered, the average time of their visit, the physical paths they took within the shop to identify what interested them, and frequency of peoples repeat visits. We can even warn you about the ones you do not want in the store.
By utilizing precise store-by-store metrics, retailers are able to understand patterns and adjust them accordingly.