Digital processing systems and methods for recommendation engine for automations in collaborative work systems

A non-transitory computer readable medium containing instructions that when executed by at least one processor, cause the at least one processor to perform operations for predicting required functionality and for identifying application modules for accomplishing the predicted required functionality, the operations comprising:

• outputting a logical sentence structure template for use in building a new application module, the logical sentence structure template including a plurality of pre-defined variables and a plurality of definable variables, wherein the definable variables, when selected, form a sentence with the pre-defined variables delineating a function of the new application module;
• receiving at least one input for at least one of the definable variables;
• performing language processing on the sentence including the pre-definable variables and the at least one received input to thereby characterize the function of the new application module;
• comparing the characterized function of the new application module with pre-stored information related to a plurality of predefined application modules to determine at least one similarity to a specific predefined application module;
• and
• based on the at least one similarity, presenting the specific predefined application module as an adoptable alternative for accomplishing the function.

A method for predicting required functionality and for identifying application modules for accomplishing the predicted required functionality, the method comprising:

• outputting a logical sentence structure template for use in building a new application module, the logical sentence structure template including a plurality of pre-defined variables and a plurality of definable variables, wherein the definable variables, when selected, form a sentence with the pre-defined variables delineating a function of the new application module;
• receiving at least one input for at least one of the definable variables;
• performing language processing on the sentence including the pre-definable variables and the at least one received input to thereby characterize the function of the new application module;
• comparing the characterized function of the new application module with pre-stored information related to a plurality of predefined application modules to determine at least one similarity to a specific predefined application module;
• and
• based on the at least one similarity, presenting the specific predefined application module as an adoptable alternative for accomplishing the function.