Systems, devices, and methods for generating terminal resource recommendations

Patent metadata

Field	Value
Publication number	US-2018024907-A1
Application number	US-201715653580-A
Country	US
Kind code	A1
Filing date	Jul 19, 2017
Priority date	Jul 22, 2016
Publication date	Jan 25, 2018
Grant date	—

Abstract

A technique for generating terminal resource recommendations is discussed. Terminal activity status data is retrieved from a number of sensors in order to generate and render terminal resource recommendations. The activity status data is used to calculate a current active terminal recommendation indicative of the number of terminals needed to currently satisfy a particular service metric. A predicted active terminal recommendation indicative of the number of terminals needed at a specified future time period in order to satisfy a particular service metric at the specified future time period may also be generated.

First claim

What is claimed is:

1 . A system for generating terminal resource recommendations, the system comprising:
a plurality of sensors configured to identify an activity status of each of a plurality of terminals; and a processor in communication with the plurality of sensors and configured to retrieve activity status data representative of a number of terminals currently active, wherein the processor is further configured to execute:
a service metric retrieval module configured to retrieve a service metric representative of a desired workload for each of the terminals currently active; and
a terminal recommendation module configured to:
calculate a current active terminal recommendation representative of a number of terminals of the plurality of terminals that should be currently active in order to satisfy the retrieved service metric; and
calculate a predicted active terminal recommendation, based on an amount of customer traffic, representative of a number of terminals of the plurality of terminals that should be active at a specified future time period in order to maintain the retrieved service metric at the specified future time period.

2 . The system of claim 1 , further comprising a display configured to render a graphical representation of each currently active terminal.

3 . The system of claim 2 , wherein the display is further configured to render a timestamp indicative of when the current active terminal recommendation was calculated.

4 . The system of claim 2 , wherein the service metric retrieval module is further configured to calculate an average service metric value based on an average of each active terminal's performance with respect to the retrieved service metric.

5 . The system of claim 4 , wherein the display is further configured to render a graphical representation of the average service metric value.

6 . The system of claim 2 , wherein the graphical representation of each currently active terminal includes a visual indication of whether that terminal is satisfying the retrieved service metric.

7 . The system of claim 6 , wherein the visual indication is a color.

8 . A method for generating terminal resource recommendations, the method comprising:
identifying, using a plurality of sensors, an activity status of each of a plurality of terminals; retrieving, via a processor in communication with the plurality of sensors, activity status data representative of a number of terminals currently active; retrieving, via a service metric retrieval module, a service metric representative of a desired workload for each of the terminals currently active; calculating, via a terminal recommendation module, a current active terminal recommendation representative of a number of terminals of the plurality of terminals that should be currently active in order to satisfy the retrieved service metric; and calculating, via a terminal recommendation module, a predicted active terminal recommendation, based on an amount of customer traffic, representative of a number of terminals of the plurality of terminals that should be active at a specified future time period in order to maintain the retrieved service metric at the specified future time period.

9 . The method of claim 8 , further comprising rendering, via a display device, a graphical representation of each currently active terminal.

10 . The method of claim 9 , further comprising rendering, via the display device, a timestamp indicative of when the current active terminal recommendation was calculated.

11 . The method of claim 9 , further comprising calculating, via the service metric retrieval module, an average service metric value based on an average of each active terminal's performance with respect to the retrieved service metric.

12 . The method of claim 11 , further comprising rendering, via the display device, a graphical representation of the average service metric value.

13 . The method of claim 9 , wherein the graphical representation of each currently active terminal includes a visual indication of whether that terminal is satisfying the retrieved service metric.

14 . The method of claim 13 , wherein the visual indication is a color.

15 . A non-transitory machine readable medium storing instructions executable by a processing device, wherein execution of the instructions causes the processing device to implement a method for generating terminal resource recommendations, the method comprising:
identifying, using a plurality of sensors, an activity status of each of a plurality of terminals; retrieving activity status data from the plurality of sensors representative of a number of terminals currently active; retrieving, via a service metric retrieval module, a service metric representative of a desired workload for each of the terminals currently active; calculating, via a terminal recommendation module, a current active terminal recommendation representative of a number of terminals of the plurality of terminals that should be currently active in order to satisfy the retrieved service metric; and calculating, via a terminal recommendation module, a predicted active terminal recommendation, based on an amount of customer traffic, representative of a number of terminals of the plurality of terminals that should be active at a specified future time period in order to maintain the retrieved service metric at the specified future time period.

16 . The non-transitory machine readable medium of claim 15 , wherein execution of the instructions further causes the processing device to render, via a display device, a graphical representation of each currently active terminal.

17 . The non-transitory machine readable medium of claim 16 , wherein execution of the instructions further causes the processing device to render, via the display device, a timestamp indicative of when the current active terminal recommendation was calculated.

18 . The non-transitory machine readable medium of claim 16 , wherein execution of the instructions further causes the processing device to calculate, via the service metric retrieval module, an average service metric value based on an average of each active terminal's performance with respect to the retrieved service metric.

19 . The non-transitory machine readable medium of claim 18 , wherein execution of the instructions further causes the processing device to render, via the display device, a graphical representation of the average service metric value.

20 . The non-transitory machine readable medium of claim 16 , wherein the graphical representation of each currently active terminal includes a visual indication of whether that terminal is satisfying the retrieved service metric.

Assignees

• Wal Mart Stores Inc

Inventors

• Caution Stephen Tyler
• Hicks Tricia Mcpherson
• Wise Lori Lee
• Ryner Douglas Jahe
• Osmon Joshua David
• Moreda Jaclyn

Classifications

• H04L41/40

  using virtualisation of network functions or resources, e.g. SDN or NFV entities · CPC title

• H04L41/147

  for predicting network behaviour · CPC title

• G06F11/3442

  for planning or managing the needed capacity · CPC title

• G06F11/3438

  monitoring of user actions (tracking the activity of the user H04L67/535) · CPC title

• G06F11/3452

  Performance evaluation by statistical analysis · CPC title