Thanks to the information obtained from the new people counting technologies, it is possible to obtain traffic data within a store and information on the conversion rate. With these data you can understand and then forecast the peak and dip moments in the market demand. In addition, by crossing this information with those of receipts, you will know the best times to advertise certain products during the day, month or year.
In this way the staff can be prepared and adequately distributed for particularly busy periods, to improve the customer experience. Thanks to retail traffic analytics it is also possible to avoid jams or long waits to the customers, which could tire them out and move them away. Furthermore, thanks to data analysis, it will be easier and easier to meet buyers’ needs.