Abstract: A method of delivering an order to a customer of a quick service restaurant can include identifying a vehicle of the customer that enters a zone surrounding the quick service restaurant and displaying, on at least one digital sign able to be viewed by the customer, information specific to the customer.

Abstract: A method of detecting inappropriate imagery in a customer user profile image intending to be displayed on digital signage at a quick service restaurant can include identifying the presence of a customer adjacent a digital sign; associating the customer with a customer user profile; analyzing, by a computer processor, the customer user profile image for inappropriate imagery in the customer user profile image; in response to the detection of inappropriate imagery, displaying on the digital sign either no image or a different image that does not contain inappropriate imagery; and, in response to the detection of inappropriate imagery, displaying on the digital sign the customer user profile image.

Abstract: A method of delivering an order to a customer of a quick service restaurant can include receiving, from the customer, an order that includes at least one food time in need of preparation; determining, by a computer processor, an amount of time needed to prepare the at least one food item; identifying a vehicle of the customer that enters a zone surrounding the quick service restaurant; depending on an amount of time needed to complete preparation of the at least one food item at the moment when the vehicle is identified within the zone, directing the customer to either at least one drive-through lane or a waiting spot; and delivering the order to the customer either in the at least one drive-through lane or at the waiting spot.

Abstract: The present disclosure presents a method of predicting an amount of time needed to complete preparation of an order at a quick service restaurant. The order includes at least one food item in need of preparation. The method can include receiving the order from a customer, and predicting the amount of time needed to complete preparation of the order using a machine-learning model, based on the food item(s) ordered and on at least one of the following: a time-of-day that the order was placed, a number of employees on duty at the quick service restaurant, a number of other orders currently pending at the quick service restaurant, and inventory of each ingredient needed to complete preparation of the at least one food item.

Abstract: A method of delivering an order to a customer of a quick service restaurant can include transmitting, from a first beacon to a receiver adjacent the customer, a first signal; transmitting, from a second beacon to the receiver adjacent the customer, a second signal; from the first signal received by the receiver, a first timestamp reflective of a time the first signal is received by the receiver, the second signal received by the receiver, and a second timestamp reflective of a time the second signal is received by the receiver, determining a location of the customer within a zone surrounding the quick service restaurant; communicating the location of the customer to a display within the quick service restaurant; and delivering the order to the customer at the location.

Abstract: A method of delivering an order to a customer of a quick service restaurant can include identifying, by computer vision using at least one camera, a vehicle that enters a zone surrounding the quick service restaurant; associating, by a computer processor, the vehicle with a profile of the customer that includes the order; directing the vehicle to a location within the zone; and delivering the order to the customer in the vehicle.

Abstract: A method of preparing an order placed by a customer distant from a quick service restaurant includes receiving, from the customer, an order that includes at least one food item in need of preparation; determining, by a computer processor, an amount of time needed to prepare the at least one food item; positioning, dependent upon the amount of time needed to prepare the at least one food item, a geofence around the quick service restaurant; tracking a position of the customer; and, in response to the customer crossing the geofence, beginning preparation of the at least one food item.

Abstract: Techniques to increase accuracy of estimating fuel for an aircraft. A statistical analysis is performed on data for multiple past instances of flights between a departure airport and an arrival airport for multiple aircraft to determine one or more predicted real-world limitations more stringent than what is imposed by a set of regulations. A calibration flight plan is generated based on an operator flight plan and the one or more predicted real-world limitations. The calibration flight plan includes an airborne operating parameter that conforms to the one or more predicted real-world limitations. Based on the calibration flight plan, a first fuel load is calculated for the aircraft travelling from the departure airport to the arrival airport.

Abstract: Techniques to increase accuracy of estimating fuel for an aircraft. A statistical analysis is performed on data for multiple past instances of flights between a departure airport and an arrival airport for multiple aircraft to determine one or more predicted real-world limitations more stringent than what is imposed by a set of regulations. A calibration flight plan is generated based on an operator flight plan and the one or more predicted real-world limitations. The calibration flight plan includes an airborne operating parameter that conforms to the one or more predicted real-world limitations. Based on the calibration flight plan, a first fuel load is calculated for the aircraft travelling from the departure airport to the arrival airport.

Abstract: Method and system for providing optimal, achievable flight plans for a flight of an aircraft and for providing accurate fuel load calculations. The method and system can check for and correct inaccurate assumptions in a flight plan. The method and system can also perform statistical analysis to recognize and account for real-world limitations on flight plans. The method and system can also perform statistical analysis to determine actual aircraft wear that can affect aircraft performance and account for such wear when calculating fuel load.

Abstract: Method and system for providing optimal, achievable flight plans for a flight of an aircraft and for providing accurate fuel load calculations. The method and system can check for and correct inaccurate assumptions in a flight plan. The method and system can also perform statistical analysis to recognize and account for real-world limitations on flight plans. The method and system can also perform statistical analysis to determine actual aircraft wear that can affect aircraft performance and account for such wear when calculating fuel load.