The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2020

Filed:

Mar. 01, 2016
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Sumukh Sudhakar Sirmokadam, Mumbai, IN;

Mahesh Kshirsagar, Mumbai, IN;

Sumit Raut, Kolkata, IN;

Muralidharan Somasundaram, Siruseri, IN;

Sumit Inderjeet Juneja, Mumbai, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06F 11/34 (2006.01); G06Q 10/04 (2012.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/063116 (2013.01); G06F 11/3442 (2013.01); G06F 11/3447 (2013.01); G06Q 10/04 (2013.01); G06Q 10/063 (2013.01); G06Q 10/0631 (2013.01); G06Q 10/105 (2013.01);
Abstract

Method and system for enabling dynamic capacity planning are disclosed. In an embodiment, a plurality of operational inputs are configured to forecast a demand volume and generate a dynamic capacity planning schedule. For example, said plurality of operational inputs include raw data received from a server. Further, historical data is processed based on said plurality of operational inputs to create a plurality of contextual data elements. Furthermore, said demand volume is forecasted and said dynamic capacity planning schedule is generated using at least a part of the historical data and a current capacity planning requirement, said current capacity planning requirement is being generated dynamically by said server. In addition, said dynamic capacity planning schedule is rendered based on said forecasted demand volume and said rendered dynamic capacity planning schedule is clustered into a plurality of work reports associated with said plurality of contextual data elements.


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