Cloud resources platform incorporating a dynamic offering catalog

A method comprising:

• enabling interaction between multiple types of actors and a processing platform, wherein the multiple types of actors comprise one or more distributed cloud-based vendors seeking to add one or more distributed individual resource offerings to the processing platform, and one or more customers seeking to procure one or more resource distributed individual resource offerings via the processing platform, wherein:
• enabling interaction between the one or more distributed cloud-based vendors and the processing platform comprises implementing service integration middleware configured to integrate the processing platform with the one or more distributed cloud-based vendors by interacting with multiple modules from the one or more distributed cloud-based vendors utilizing multiple integration adapters, wherein utilizing the multiple integration adapters comprises utilizing one of the multiple integration adapters for each function of each of the one or more distributed individual resource offerings from the one or more distributed cloud-based vendors;
• and
• enabling interaction between the one or more customers and the processing platform comprises implementing at least one web-based user interface and at least one application programming interface to integrate the processing platform with one or more systems associated with the one or more customers;
• maintaining, in a resource offering repository, the distributed individual resource offerings added to the processing platform via one or more interfaces and data pertaining thereto, wherein the data comprise one or more customer attributes required for procuring the distributed individual resource offerings;
• matching two or more of the distributed individual resource offerings based on one or more of the customer attributes associated therewith by identifying one or more patterns in data corresponding to the two or more distributed resource offerings using one or more machine learning clustering algorithms comprising one or more of at least one k-means clustering algorithm, at least one fuzzy clustering algorithm, and at least one heterogeneous distance function;
• generating at least one resource bundle offering comprising two or more of the distributed individual resource offerings based on a particular set of one or more customer attributes and the matching of the distributed individual resource offerings;
• and
• outputting to a customer, via one or more interfaces, at least one of the at least one resource bundle offering and one or more of the distributed individual resource offerings based on the customer attributes of the customer;
• wherein the processing platform is configured to implement at least a portion of at least a first cloud-based system.

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by a processing platform comprising a plurality of processing devices causes the processing platform:

• to enable interaction between multiple types of actors and a processing platform, wherein the multiple types of actors comprise one or more distributed cloud-based vendors seeking to add one or more distributed individual resource offerings to the processing platform, and one or more customers seeking to procure one or more distributed individual resource offerings via the processing platform, wherein:
• enabling interaction between the one or more distributed cloud-based vendors and the processing platform comprises implementing service integration middleware configured to integrate the processing platform with the one or more distributed cloud-based vendors by interacting with multiple modules from the one or more distributed cloud-based vendors utilizing multiple integration adapters, wherein utilizing the multiple integration adapters comprises utilizing one of the multiple integration adapters for each function of each of the one or more distributed individual resource offerings from the one or more distributed cloud-based vendors;
• and
• enabling interaction between the one or more customers and the processing platform comprises implementing at least one web-based user interface and at least one application programming interface to integrate the processing platform with one or more systems associated with the one or more customers;
• to maintain, in a resource offering repository, the distributed individual resource offerings added to the processing platform via one or more interfaces and data pertaining thereto, wherein the data comprise one or more customer attributes required for procuring the distributed individual resource offerings;
• to match two or more of the distributed individual resource offerings based on one or more of the customer attributes associated therewith by identifying one or more patterns in data corresponding to the two or more distributed resource offerings using one or more machine learning clustering algorithms comprising one or more of at least one k-means clustering algorithm, at least one fuzzy clustering algorithm, and at least one heterogeneous distance function;
• to generate at least one resource bundle offering comprising two or more of the distributed individual resource offerings based on a particular set of one or more customer attributes and the matching of the distributed individual resource offerings;
• and
• to output to a customer, via one or more interfaces, at least one of the at least one resource bundle offering and one or more of the distributed individual resource offerings based on the customer attributes of the customer;
• wherein the processing platform is configured to implement at least a portion of at least a first cloud-based system.