AN AUTOMATED SYSTEM FOR PROVIDING PERSONALIZED REWARDS AND A METHOD THEREOF

• US 20200134536A1
• Filed: 07/24/2018
• Published: 04/30/2020
• Est. Priority Date: 07/25/2017
• Status: Active Application

• Current Assignee: Cybage Software Private Limited
• Original Assignee: Cybage Software Private Limited
• Inventors: NATHANI, Arun Vijay
• Application Number:
  US16/630,382
• Publication Number:
  US 20200134536A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/06398 Performance of employee with respect to a job function
• CPC Class Codes: G06Q 10/1057 Benefits or employee welfare, e.g. insurance, holiday or retirement packages

Abstract

The present disclosure relates to the field of automated rewarding systems. The system comprises a plurality of set of user devices (10) associated with employees, a plurality of second user devices (20) associated with managers, and a server (30). The server (30) is configured to receive peer score values and the manager score values from the set of user devices (10) and second user devices (20). Further, the server (30) is configured to validate the recognitions/ranking provided by the manager by comparing the manager score values with peer score values. Upon successfully validating the recognition/ranking, the server allows the recognized employee to select a reward from a reward catalog, thereby maintaining a competitive environment within a team and keeping the employees of the team motivated.

Claims

1. An automated system (100) for providing personalized rewards, said system (100) comprising:

a plurality of set of user devices (10), wherein each of said set of user devices is associated with a team of employees of an organization, each of said set of user devices (10) being configured to facilitate an employee of said associated team to provide at least one peer score value for each of the employees of said associated team based on a set of pre-defined parameters;

a plurality of second user devices (20), wherein each of said second user devices is associated with a manager of each of said teams, each of said second user device (20) being configured to facilitate said associated manager to provide a manager score value for each of the employees of said associated team respectively based on the set of pre-defined parameters; and

a server (30) configured to cooperate with said plurality of set of user devices (10) and said plurality of second user devices (20), said server (30) having;

a memory (102) configured to store a set of pre-defined organization rules, a first lookup table having a list of employees and employee details, computed historical score values, team details, corresponding to each of said listed employees, and a second lookup table having a list of pre-determined rank values and a reward catalog corresponding to each of said pre-determined rank values;

a ranking unit (106) configured to cooperate with said memory (102), said ranking unit (106) configured to generate a rating value for each of said employees based on said peer score values;

an assessment unit (108) configured to cooperate with said ranking unit (106), and further configured to generate a rank value for each of the employees of said team based on said rating values;

a validation unit (110) configured to cooperate with said assessment unit (108), and further configured to identify errors or an occurrence of biasness by comparing the rank value of each employee with said manager score values;

an autocorrection unit (111) configured to cooperate with said validation unit (110), said ranking unit (106), and said memory (102), said autocorrection unit (111) configured to autocorrect said identified errors or biasness by correcting said manager score values using said computed historical score values, said rating values computed using said peer score values and said set of pre-defined rules; and

a reward engine (112) configured to cooperate with said memory (102) and said assessment unit (108), and further configured to extract said reward catalog from said second lookup table corresponding to said generated rank value of each of said employees, said reward engine (112) configured to facilitate said employees to select a reward from said extracted catalog,

wherein said ranking unit (106), said assessment unit (108), said validation unit (110), said autocorrection unit (111), and said reward engine (112) are configured to be implemented using one or more processor(s).

2. The system (100) as claimed in claim 1, wherein said set of pre-determined parameters is selected from the group consisting of on-time project deliverables, discipline, attentiveness, punctuality, obedience to an organization policies, technical knowledge, productivity, and quality of work.

3. The system (100) as claimed in claim 1, wherein said autocorrection unit (111) comprises:

an updater (111a) configured to cooperate with said validation unit (110), and further configured to autocorrect said identified error by updating said manager score values said computed historical score values, said rating values computed using said peer score values and said set of pre-defined rules; and

a flag generator (111b) configured to cooperate with said updater (111a), and further configured to generate a flag to indicate autocorrection of said manager score values,

wherein, said flag generator (111b) and said updater (111a) are configured to be implemented using one or more processor(s).

4. The system (100) as claimed in claim 1, wherein said validation unit (110) is configured to generate an alert if biasness or error is identified.

5. The system (100) as claimed in claim 1, wherein said validation unit (110) comprises:

a comparator (110a) configured to compare the rank value of each employee, generated based on said peer score values, and said manager score values; and

an identifier (110b) configured to cooperate with said comparator (110a), and further configured to identify errors or biasness in said manager score values based on the comparison of the rank value of each employee with said manager score values,

wherein said comparator (110a) and said identifier (110b) are configured to be implemented using one or more processor(s).

6. The system (100) as claimed in claim 1, wherein said reward catalog contains rewards selected from the group consisting of gift vouchers, merchandise, cash coupons, sweets, chocolates, and e-vouchers.

7. The system (100) as claimed in claim 1, wherein said server (30) includes a communication module (116) configured to cooperate with said reward engine (112) to receive and transmit the extracted reward catalog to a user device associated with said employee.

8. The system (100) as claimed in claim 1, wherein said ranking unit (106) is configured to compute said rating value for each of said employees of said associated team by averaging said peer score values provided by the employees of said associated team for each of said employees.

9. The system (100) as claimed in claim 1, wherein said server (30) includes a dispatching unit (114) configured to cooperate with said memory (102) and said reward engine (112), and is further configured to dispatch the selected reward to a desired address of the employee.

10. A method (200) for providing personalized rewards, said method (200) comprising the steps of:

storing (202), in a memory (102), a set of pre-defined organization rules, a first lookup table having a list of employees, and employee details, computed historical score values, team details, corresponding to each of said listed employees, and a second lookup table having a list of pre-determined rank values and a reward catalog corresponding to each of said pre-determined rank values;

generating a rating value for each of said employees (204), by a ranking unit (106), based on peer score values received from a set of user devices (10) associated with a team of employees;

generating a rank value for each of said employees of said team (206), by an assessment unit (108), based on said rating values;

identifying errors or occurrence of biasness (208), by a validation unit (110), by comparing the rank value of each employee of said team with manager score values provided using a second user device by a manager associated with said team;

autocorrecting said identified errors or biasness (210), by an autocorrection unit (111), using said computed historical score values, said peer score values, said set of pre-defined rules;

extracting (212), by a reward engine (112), said reward catalog from said second lookup table corresponding to said generated rank value; and

facilitating said employee to select a reward (214), by said reward engine (112), from said extracted catalog.