Abstract: A process of evaluating whether to open a new car wash at a new geographic location includes establishing the geographic location for consideration, obtaining real-time data generated for a plurality of existing car washes at or near the geographic location, and categorizing the real-time data obtained for each of the existing car washes into a plurality of defined categories. A data structure linking the real-time data obtained with unique location identifiers is generated, and demographic information is accessed for the respective locations using the location identifiers. An artificial neural network generates a financial prediction indicating an expected financial performance of the car wash if constructed at the geographic location based on the data structure. A determination can be made whether to construct the new wash at the geographic location based on whether an expected financial performance of the car wash at the geographic location satisfies a minimum performance threshold.

Abstract: Disclosed systems and methods prevent collisions in a carwash property. Disclosed systems and methods include software that brings together computer vision and machine learning algorithms to track the interaction of vehicles and equipment within the environment of a carwash to improve safety and optimize production.

Abstract: A method of and system for controlling operations of a car wash is disclosed herein, wherein a tertiary computing device of the system can be positioned at an upstream end of a tunnel of a car wash. A secondary server computing device of the system can also be positioned on-site with the car wash. A primary server computing device of the system can be positioned off-site of the car wash. The computing devices of the system can allow a consumer to select.