Restaurant management system and method

• US 8,620,753 B2
• Filed: 04/14/2010
• Issued: 12/31/2013
• Est. Priority Date: 04/14/2010
• Status: Expired due to Fees

• Current Assignee: Restaurant Technologies Incorporated (Goldman Sachs Group Incorporated)
• Original Assignee: Restaurant Technologies Incorporated (Goldman Sachs Group Incorporated)
• Inventors: Burns, James W., Berenschot, Cathy E., Calabrese, Gerald, Kasper, Charles D. III, Lovell, Rosemarie
• Primary Examiner(s): OBAID, FATEH M
• Application Number:
  US12/798,948
• Publication Number:
  US 20110258011A1
• Time in Patent Office: 1,357 Days
• Field of Search: None
• US Class Current: 705/15
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

A restaurant management system and method interface is provided. In accordance with the invention, data from various restaurant operations is collected and stored for processing. The data is processed into useful metrics, such as those indicative of various categories of restaurant staffing, efficiency, performance and quality. The useful metrics can be displayed as a human-readable chart, graph or report. The data can be processed in real time, permitting managers to promptly make adjustments and to alert restaurant workers or crew members of deficiencies so that prompt and effective remedial action can be taken to improve restaurant performance. Reports may be generated that provide the performance of restaurants individually and as a combined group.

Claims

1. A method of managing a restaurant with a computerized system for restaurant management, the computerized system for restaurant management comprising:

an order input interface for obtaining food order data;

a service input interface for obtaining point-of-sale service data;

a task completion input device, the task completion input device having a human readable display and an input interface capable of receiving an input from a human indicating completion of restaurant tasks, the input device having program code capable of indicating a task to be completed on the human readable display and program code for generating restaurant task completion data;

a computer system connected to the order input interface and the service input interface, the computer system capable of receiving food order data from the order input interface, point-of-sale service data from the service input interface and restaurant task completion data from the task completion input device, the computer system having computer program code capable of generating restaurant performance data based on data selected from the food order data, point-of-sale service data, and restaurant task completion data;

a first computer program code operable by the computer system and capable of transforming the restaurant performance data, task completion data and past restaurant staffing data into metrics;

a second computer program code operable by the computer system and capable of providing a report summarizing restaurant staffing, metrics and targets for metrics, the metrics including service times, and equipment maintenance or food safety metrics, the method comprising;

obtaining;

(1) food order data from the order input interface;

(2) point-of-sale service data from the service input interface;

(3) restaurant staffing data; and

optionally (4) the task completion data from the task completion input device;

the computer system receiving data composed of the food order data, the point-of-sale service data and the optional task completion data;

transforming the food order data, the point-of-sale service data and the optional task completion data into metrics with the first computer program code;

producing a report by the first computer or another computer, the report summarizing past restaurant staffing data, metrics and targets for metrics, the metrics including service times, and equipment maintenance or food safety metrics, the service time metric based on the time from a customer placing a food order to presentment of the food order to the customer or from a customer payment to presentment of the food order to the customer during the past in-restaurant staffing data; and

outputting the report in a human-readable format.

2. The method of claim 1 further comprising

entering an order for food from a customer into the order input interface;

indicating for the order that the ordered food has been prepared or served in the service input interface;

measuring the amount of time elapsed from the entry to the indication; and

generating a datum representative of service time from the measurement.

3. The method of claim 1 further comprising

sensing a vehicle in a drive-thru lane;

indicating that food has been prepared for service to the vehicle or has been served to the vehicle;

measuring the amount of time elapsed from the sensing of the vehicle to the indication; and

generating a datum representative of service time from the measurement.

4. The method of claim 1 further comprising

sensing a vehicle in a drive-thru lane;

detecting the departure of a vehicle from a service area in the drive-thru lane;

measuring the amount of time elapsed from the sensing of the vehicle to the detection; and

generating a datum representative of service time from the measurement.

5. The method of claim 1 further comprising generating a projected number of orders to be served.

6. The method of claim 5 wherein the generating a projected number of orders to be served is based on historical trends.

7. The method of claim 5 wherein the receiving at the computer restaurant staffing level input or forecasting by the computer restaurant staffing level needs comprises

projecting by the first or second computer projected restaurant staffing level needs from the projected amounts of food to be served;

and

receiving by the first computer staff hours worked data.

8. The method of claim 5 further comprising

receiving at the computer food volume data;

and

providing by the report a comparison of the amount of food actually ordered based on the food volume data and the projected amount of food to be served.

9. The method of claim 5 further comprising

receiving at the computer food volume data;

calculating based on the received food volume data a restaurant staffing level metric; and

providing by the report a comparison of the actual restaurant staffing level and the restaurant staffing level metric.

10. The method of claim 1 further comprising

providing a computer program restaurant staffing code operable by the computer system and capable of receiving restaurant staffing level data and forecasting future restaurant staffing level needs based at least in part on the restaurant performance data and task completion data;

providing restaurant staffing level data for a time period in which the food order data, the point-of-sale data and the restaurant task completion is obtained; and

determining, using the computer program restaurant staffing code, the restaurant staffing level efficiency for the time period based on the food order data, the point-of-sale data and the restaurant task completion data.

11. The method of claim 10 further comprising

determining, using the computer program restaurant staffing code, future restaurant staffing level needs.

12. The method of claim 1 further comprising transforming the task completion data comprising food safety task completion data or preventive maintenance tasks completion data into food or maintenance metrics with the first computer program code.

13. The method of claim 1 wherein the metrics include food safety metrics.