Systems and methods for method for predicting a required number of point of sale (POS) stations to accommodate a number of customers are disclosed herein. An example method includes analyzing image data to determine (i) a set of customer data and (ii) a cart occupancy value associated with the customers, and generating, utilizing a machine learning (ML) algorithm, a first value based on the set of customer data and the cart occupancy value associated with the customers. The ML algorithm may be trained using a plurality of training data including a plurality of training customer data and a plurality of training cart occupancy values. The example method further includes determining whether the first value exceeds a second value, and responsive to determining that the first value exceeds the second value, generating an alert for transmission to a device indicating that the first value exceeds the second value.