Abstract: A merchant may use an e-commerce platform to sell products to customers on an online store. The merchant may have more than one online store, each with its own separate inventory, orders, domain name (or subdomain), currency, etc. A computer-implemented system and method are provided that allow the merchant to build workflows to automate tasks at the organizational level, i.e. workflows that can incorporate triggers, conditions, and/or actions from and across the different online stores that belong to the merchant.

Abstract: A computer-aided educational system and method to further a student's understanding of a subject matter through analyzing data captured in an electronic learning system so as to determine correlation data corresponding to variables or trends which are determined to enhance, optimize, and/or improve one's learning abilities or understanding of educational content. The system and method generates reports based on the correlation data, develops statistical models that highlight learning and behavioral trends, and/or provides recommendations for adapting the learning system based on the correlation data and statistical models.

Abstract: A computer-aided educational system and method to further a student's understanding of a subject matter through analyzing data captured in an electronic learning system so as to determine correlation data corresponding to variables or trends which are determined to enhance, optimize, and/or improve one's learning abilities or understanding of educational content. The system and method generates reports based on the correlation data, develops statistical models that highlight learning and behavioral trends, and/or provides recommendations for adapting the learning system based on the correlation data and statistical models.

Abstract: An online service may use an online service platform to conduct transactions. An online service platform may have built-in transaction analysis, or may support third-party transaction analysis applications, that can assist in transaction processing by assigning classifications to transactions. However, automated rules-based transaction processing based on such classifications can be difficult to scale and manually analyzing transactions can be impractical when processing a large volume of transactions. Computer-implemented systems and methods for processing transactions using customized service-specific transaction classifiers are disclosed. The service-specific transaction classifiers are generated using service-specific machine learning models that are each trained based on historical transaction data for the corresponding online service.

Abstract: A merchant may use an e-commerce platform to sell products to customers on an online store. The merchant may have more than one online store, each with its own separate inventory, orders, domain name (or subdomain), currency, etc. A computer-implemented system and method are provided that allow the merchant to build workflows to automate tasks at the organizational level, i.e. workflows that can incorporate triggers, conditions, and/or actions from and across the different online stores that belong to the merchant.

Abstract: A computer-aided educational system and method to further a student's understanding of a subject matter through analyzing data captured in an electronic learning system so as to determine correlation data corresponding to variables or trends which are determined to enhance, optimize, and/or improve one's learning abilities or understanding of educational content. The system and method generates reports based on the correlation data, develops statistical models that highlight learning and behavioral trends, and/or provides recommendations for adapting the learning system based on the correlation data and statistical models.

Abstract: An electronic learning system for generating at least one visualization in relation to a plurality of learners. The system includes at least one data storage device storing learner data and class data, the learner data having a plurality of performance aspects associated with each learner and class data being associated with the plurality of learners, and at least one processor in data communication with the at least one data storage device. The at least one processor adapted to receive the learner data and the class data, generate at least one visualization indicative of performance of each learner in relation to the plurality of learners based upon the learner data and class data, the at least one visualization including multiple graphical features, each of the graphical features being indicative of one of the performance aspects of the learner relative to class data, and display the at least one visualization.

Abstract: A computer-aided educational system and method to further a student's understanding of a subject matter through analyzing data captured in an electronic learning system so as to determine correlation data corresponding to variables or trends which are determined to enhance, optimize, and/or improve one's learning abilities or understanding of educational content. The system and method generates reports based on the correlation data, develops statistical models that highlight learning and behavioral trends, and/or provides recommendations for adapting the learning system based on the correlation data and statistical models.