Abstract: The present disclosure provides methods and systems for quantifying item performance in a digital shelf. A method for quantifying item performance in a digital shelf may comprise: calculating a value associated with a shelf share of the given item; determining a set of factors for calculating a score indicative of the item performance on the digital shelf, wherein the set of factors includes the shelf share; generating, using a trained machine learning algorithm, the score based on the set of factors; and displaying the score within a graphical user interface (GUI) on an electronic device.

Abstract: A web browser communicates through a secure local proxy to a web server that has an interface for secure communications. The application server has an application program conforming to the CGI programming model that can run continuously as a process and can maintain state information, such as pointers to next records, thus requiring less computational and memory overhead for a succession of requests.