Abstract: The present disclosure provides systems and methods for generating a digital menu for an establishment. In accordance with some embodiments, a system for generating a digital menu for an establishment is configured to: retrieve menu data from a point of sale (PoS) system at the establishment; retrieve supplemental information for the retrieved menu data; generate the digital menu based on the retrieved menu data and the supplemental information; and transmit the digital menu to an electronic device for display to a user.

Abstract: The present disclosure provides systems and methods for generating a digital menu for an establishment. In accordance with some embodiments, a system for generating a digital menu for an establishment is configured to: retrieve menu data from a point of sale (PoS) system at the establishment; retrieve supplemental information for the retrieved menu data; generate the digital menu based on the retrieved menu data and the supplemental information; and transmit the digital menu to an electronic device for display to a user.

Abstract: The present disclosure provides systems and methods for processing customer payments for an establishment. In accordance with some embodiments, a server for processing customer payments for one or more establishments is able to connect to and interface with various establishments' PoS systems (including multiple different kinds of PoS systems) through a network (e.g. the Internet), remotely using cloud application program interfaces (APIs) of the PoS systems. The server is also configured to connect through the Internet to a payment gateway, which may be a software-as-a-service that is remotely available through APIs, for processing customer payments on behalf of an establishment.

Abstract: Various exemplary embodiments relate to a method of detecting anomalies in network traffic. The method includes: receiving a plurality of accounting reports from an application assurance device, the accounting reports indicating a metric of network performance; aggregating the metric from a plurality of accounting reports to determine a plurality of aggregated metrics corresponding to a plurality of intervals; storing the aggregated metrics in a database in association with the corresponding plurality of intervals; determining a rolling baseline for a current time period based on metrics of intervals corresponding to a primary partition and a sub-partition; comparing a metric for a current time period to the rolling baseline; and determining that an anomaly is occurring if the metric for the current time period differs from the rolling baseline by more than a pre-defined threshold.