Method and system for recommending crowdsourcability of a business process

A computer implemented method for crowdsourcing based on solving an optimization function, the computer implementable method comprising:

• receiving, by one or more processors, a plurality of requirements comprising technology requirements, labor requirements, and process requirements;
• assigning a tolerance value to each of the plurality of requirements;
• receiving, by the one or more processors, one or more attributes pertaining to a plurality of crowdsourced workforces that include at least one workforce comprising a plurality of internet based home employees working on remote computing devices;
• generating, by the one or more processors, an optimization function based on the plurality of requirements and assigned tolerance values, wherein the optimization function comprises variables corresponding to the plurality of requirements and one or more expressions for optimization;
• solving the generated optimization function such that the one or more expressions are optimized based on the received attributes pertaining to the one or more sets of crowdsourced workforces;
• and
• recommending at least one of the plurality of crowdsourced workforces based on the solving.

A system for crowdsourcing based on solving an optimization function, the system comprising:

• one or more computer processors configured to:
• receive a plurality of requirements comprising technology requirements, labor requirements, and process requirements;
• assign a tolerance value to each of the plurality of requirements;
• receive one or more attributes pertaining to a plurality of crowdsourced workforces that include at least one workforce comprising a plurality of internet based home employees working on a remote computing devices;
• generate an optimization function based on the plurality of requirements and assigned tolerance values, wherein the optimization function comprises variables corresponding to the plurality of requirements and one or more expressions for optimization;
• solve the generated optimization function such that the one or more expressions are optimized based on the received attributes pertaining to the one or more sets of crowdsourced workforces;
• and
• recommend at least one of the plurality of crowdsourced workforces based on the solving.