Authors:
Andrew Norris, Dominic Lebron, Phillip Monkowski, Jarell Norwood
Abstract:
This Disclosure proposes a system that can present potential customers the current seating and wait status of restaurants and can provide recommendations based on the aggregated data.
Background:
A potential customer to sit-down restaurants can be frustrated and turn away from a planned dining establishment upon arrival and learning that the wait time to be seated is longer than they are willing to wait for. Various seating management applications exist, but they are used only by the front desk of the establishment. By opening this data to the internet and providing it to an aggregating service, customers can learn of this information before heading to the restaurant and decide on whether to choose another location.
Description:
Existing seating management applications would implement a public API definition and publish the data to an external server. The external server would aggregate the data and present it in a web application. The web application would be able to provide recommendations based on a requested zip code, distance range, and acceptable seating parameters.
Enabling Technology:
External API definition, API implementations for various existing seating management applications, a web server with data storage.
TGCS Reference 2673
