AUTOMATED METRIC TRACKING FOR A BUSINESS

• US 20150363720A1
• Filed: 06/13/2014
• Published: 12/17/2015
• Est. Priority Date: 06/13/2014
• Status: Abandoned Application

• Current Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Original Assignee: Vivint Incorporated (NRG Energy, Inc.)
• Inventors: Fairbanks, Greg
• Application Number:
  US14/304,716
• Publication Number:
  US 20150363720A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063116 Schedule adjustment 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 10/109 Time management, e.g. calendars, reminders, meetings or time accounting
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 20/53 Recognition of crowd images, e.g. recognition of crowd congestion

Abstract

A computer-implemented method to automate metric tracking for a business is disclosed. The method may comprise observing customer data related to the business. The customer data may comprise at least one of a number of customers, customer purchases, or customer traffic. The observed customer data may be compared with a work schedule for personnel associated with the business. The work schedule may be based at least in part upon one or more scheduling parameters of the business. It may be determined if the observed customer data exceeds one or more scheduling parameters of the business. In some embodiments, at one personnel associated with the business may be alerted based upon the determining step when customer data exceeds one or more scheduling parameters. In some embodiments, the method may additionally alert a supervisor of the business based on the determining step when the customer data exceeds one or more scheduling parameters.

Claims

1. A computer-implemented method to automate metric tracking for a business, comprising:

observing customer data related to the business, the customer data comprising at least one of a number of customers, customer purchases, or customer traffic;

comparing the observed customer data with a work schedule for personnel associated with the business, the work schedule being based at least in part on one or more scheduling parameters of the business; and

determining if the observed customer data exceeds the one or more scheduling parameters of the business; and

alerting at least one personnel associated with the business based at least in part on the determining when the customer data exceeds the one or more scheduling parameters.

2. The computer-implemented method of claim 1, wherein alerting the at least one personnel further comprises:

alerting a supervisor of the business based on the determining step when the customer data exceeds the one or more scheduling parameters.

3. The computer-implemented method of claim 1, further comprising:

capturing customer traffic, wherein at least one video camera installed at the business captures images of customer movement;

determining customer movement from the capturing, wherein the movement comprises entering or exiting the business;

gauging the number of customers present at the business based on the determining.

4. The computer-implemented method of claim 3, further comprising:

setting scheduling parameters, wherein the parameters comprise at least a ratio of the personnel associated with the business and the number of customers present at the business.

5. The computer-implemented method of claim 1, further comprising:

recording the customer data based on the observing;

generating reports based on the recording; and

distributing the reports to at least one personnel associated with the business.

6. The computer-implemented method of claim 5, further comprising:

developing one or more scheduling parameters and one or more inventory parameters for pending time periods based on the reports.

7. The computer-implemented method of claim 1, further comprising:

identifying an unpredicted change in the customer data, wherein the change comprises one of a fluctuation in the customer traffic or the customer purchases;

requesting information from at least one personnel associated with the business to correlate the unpredicted change in customer data with an external event; and

recording the unpredicted change in a database with the correlating external event information.

8. The computer-implemented method of claim 7, wherein the external event is one of a conference, a sale event, a product release, inclement weather, or a social event.

9. The computer-implemented method of claim 7, furthering including

reviewing the database for historical information;

generating a report to send to at least one personnel associated with the business, wherein the report contains the historical information for an upcoming time period.

10. The computer-implemented method of claim 1, further comprising:

comparing the customer data to an inventory database; and

developing one or more inventory parameters based on the comparison.

11. The computer-implemented method of claim 1, furthering comprising:

producing a list of shift auxiliary options, the shift auxiliary options comprising at least a list of acceptable auxiliary personnel;

displaying the options to a supervisor of the auxiliary personnel; and

receiving a notification that an acceptable auxiliary personnel agreed to work.

12. The computer implemented method of claim 1, further comprising

capturing point of sale data, wherein the point of sale data includes items purchased, cost of items purchased, and relationship of items purchased to each other;

comparing the point of sale information to the work schedule;

determining one or more trends between the point of sale data and the work schedule, wherein the one or more trends capture profits or losses of the business.

13. An apparatus to automate metric tracking for a business, comprising:

a processor;

a memory in electronic communication with the processor; and

instructions stored in the memory, the instructions being executable by the processor to;

observe customer data related to the business, the customer data comprising at least one of a number of customers, customer purchases, or customer traffic;

compare the customer data with a work schedule for personnel associated with the business, the work schedule being based at least in part on one or more scheduling parameters;

determine if the customer data exceeds the one or more scheduling parameters of the business; and

alert at least one personnel associated with the business based at least in part on the determining when the customer data exceeds the one or more scheduling parameters.

14. The apparatus of claim 13, wherein the instructions are executable by the processor to:

set scheduling parameters, wherein the parameters comprise at least a ratio of personnel associated with the business and the number of customers present at the business.

15. The computer-implemented method of claim 13, wherein the instructions are executable by the processor to:

capture the customer traffic, wherein at least one video camera installed at the business captures images of customer movement;

determine customer movement from the capturing, wherein the movement comprises entering or exiting the business;

gauge the number of customers present at the business based on the determining.

16. The apparatus of claim 13, wherein the instructions are executable by the processor to:

identify an unpredicted change in the customer data, wherein the changes comprise one of unpredicted fluctuation in the customer traffic or unpredicted fluctuation in customer purchases;

request information from at least one personnel associated with business to correlate the unpredicted change in the customer data with an external event; and

record the unpredicted change in a database with correlating external event information.

17. The apparatus of claim 13, wherein the instructions are executable by the processor to:

producing a list of shift auxiliary options, the shift auxiliary options comprise at least a list of acceptable auxiliary personnel;

displaying the options to a supervisor of the auxiliary personnel; and

receiving a notification that an acceptable auxiliary personnel agreed to work.

18. A computer-program product to automate metric tracking for a business, the computer-program product comprising a non-transitory computer-readable medium storing instructions executable by a processor to:

observe customer data related to the business, the customer data comprising at least one of a number of customers, customer purchases, or customer traffic;

compare the customer data with a work schedule for personnel associated with the business, the work schedule being based at least in part on one or more scheduling parameters;

determine if the customer data exceeds the one or more scheduling parameters of the business; and

alert at least one personnel associated with the business based at least in part on the determining when the customer data exceeds the one or more scheduling parameters.

19. The computer-program product of claim 18, wherein the instructions are executable by the processor to:

identify an unpredicted change in the customer data, wherein the changes comprise one of unpredicted fluctuation in customer traffic or unpredicted fluctuation in customer purchases;

request information from at least one personnel associated with the business to correlate the unpredicted change in the customer data with an external event; and

record the unpredicted change in a database with correlating external event information.

20. The computer-program product of claim 18, wherein the instructions are executable by the processor to:

set scheduling parameters, wherein the parameters comprise at least a ratio of personnel associated with the business and number of customers present at the business.