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.

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.