LEARNING MANAGEMENT SYSTEM

• US 20140329210A1
• Filed: 05/02/2014
• Published: 11/06/2014
• Est. Priority Date: 05/03/2013
• Status: Active Grant

• Current Assignee: Transform Sr Brands, LLC (ESL Investments, Inc.)
• Original Assignee: Sears Brands LLC (Sears Holdings Corporation)
• Inventors: Masood, Rafeh, Seshadri, Naveen, Bhargava, Anirudh
• Granted Patent: US 10,423,929 B2
• Time in Patent Office: Days
• US Class Current: 434/219
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G09B 7/02 of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

Abstract

Systems and methods that support the creation and timely electronic scheduling and delivery of course materials for training of individuals in an organization, in which course recommendations, scheduling, and rollout are based upon a number of factors including, for example, specific individual and/or business day-to-day operational performance measures, sales performance, and seasonal weather conditions by geographical region.

Claims

1. A method for operating a computer system, the method comprising:

accessing business operational performance data corresponding to each of a plurality of workers;

calculating a value corresponding to each of one or more metrics for each of the plurality of workers, using the business operational performance data;

for each of the plurality of workers, comparing the value corresponding to each of the one or more metrics to one or more respective thresholds;

automatically assigning training to members of the plurality of workers, based upon the comparisons; and

tracking enrollment, progress, and completion of assigned training by the plurality of workers.

2. The method according to claim 1, wherein the business operational performance data comprises transaction information for each of a plurality of consumer transactions received from one or more point of sale terminals.

3. The method according to claim 2, wherein the information for each transaction comprises information identifying one or more products, a corresponding price for each of the one or more products, and information identifying a member of the plurality of workers that processed the consumer transaction.

4. The method according to claim 1, wherein the one or more respective thresholds are calculated using the business operational performance data for the plurality of workers, based upon a set of business rules.

5. The method according to claim 1, wherein training assigned to each member of the plurality of workers is scheduled based upon a predicted seasonal climate condition for a work location of the member.

6. The method according to claim 1, wherein the system crowd-sources materials used in training members of the plurality of workers by automatically assigning creation of the materials to one or more members of the plurality of workers that have been selected based on the one or more metrics for each of the plurality of workers.

7. The method according to claim 1, wherein the method comprises:

notifying those members of the plurality of workers to which training is assigned of the assignment for training; and

electronically delivering the assigned training to a user device of those members according to explicit request of those members.

8. A computer system comprising:

one or more processors communicatively coupled to a plurality of point of sale terminals, the one or more processors operable to, at least;

access business operational performance data corresponding to each of a plurality of workers;

calculate a value corresponding to each of one or more metrics for each of the plurality of workers, using the business operational performance data;

for each of the plurality of workers, compare the value corresponding to each of the one or more metrics to one or more respective thresholds;

automatically assign training to members of the plurality of workers, based upon the comparisons; and

track enrollment, progress, and completion of assigned training by the plurality of workers.

9. The system according to claim 8, wherein the business operational performance data comprises transaction information for each of a plurality of consumer transactions received from the one or more point of sale terminals.

10. The system according to claim 9, wherein the information for each transaction comprises information identifying one or more products, a corresponding price for each of the one or more products, and information identifying a member of the plurality of workers that processed the consumer transaction.

11. The system according to claim 8, wherein the one or more respective thresholds are calculated using the business operational performance data for the plurality of workers, based upon a set of business rules.

12. The system according to claim 8, wherein training assigned to each member of the plurality of workers is scheduled based upon a predicted seasonal climate condition for a work location of the member.

13. The system according to claim 8, wherein the system crowd-sources materials used in training members of the plurality of workers by automatically assigning creation of the materials to one or more members of the plurality of workers that have been selected based on the one or more metrics for each of the plurality of workers.

14. The system according to claim 8, wherein the one or more processors are operable to, at least:

notify those members of the plurality of workers to which training is assigned of the assignment for training; and

electronically deliver the assigned training to a user device of those members according to explicit request of those members.

15. A non-transitory computer-readable medium having a number of code sections, each code section comprising a plurality of instructions executable by one or more processors of a computer system, the instructions causing the one or more processors to perform the steps of a method, the method comprising:

accessing business operational performance data corresponding to each of a plurality of workers;

calculating a value corresponding to each of one or more metrics for each of the plurality of workers, using the business operational performance data;

for each of the plurality of workers, comparing the value corresponding to each of the one or more metrics to one or more respective thresholds;

automatically assigning training to members of the plurality of workers, based upon the comparisons; and

tracking enrollment, progress, and completion of assigned training by the plurality of workers.

16. The non-transitory computer-readable medium according to claim 15, wherein the business operational performance data comprises transaction information for each of a plurality of consumer transactions received from one or more point of sale terminals.

17. The non-transitory computer-readable medium according to claim 16, wherein the information for each transaction comprises information identifying one or more products, a corresponding price for each of the one or more products, and information identifying a member of the plurality of workers that processed the consumer transaction.

18. The non-transitory computer-readable medium according to claim 15, wherein the one or more respective thresholds are calculated using the business operational performance data for the plurality of workers, based upon a set of business rules.

19. The non-transitory computer-readable medium according to claim 15, wherein training assigned to each member of the plurality of workers is scheduled based upon a predicted seasonal climate condition for a work location of the member.

20. The non-transitory computer-readable medium according to claim 15, wherein the system crowd-sources materials used in training members of the plurality of workers by automatically assigning creation of the materials to one or more members of the plurality of workers that have been selected based on the one or more metrics for each of the plurality of workers.

21. The non-transitory computer-readable medium according to claim 15, wherein the steps of the method further comprise:

notifying those members of the plurality of workers to which training is assigned of the assignment for training; and

electronically delivering the assigned training to a user device of those members according to explicit request of those members.