Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to identify products that a user may be interested in purchasing. For example, a model may be created for a user, and attributes of products available for sale may be compared to the model. When determining that a user may be interested in a particular product, a graphical user interface (“GUI”) may be pre-populated and presented to a device of the user, to facilitate the user purchasing the product with minimal interaction.

Abstract: A device may receive parameters to test modifications to an application associated with a product and/or a service, and may process data identifying the parameters and the application, with a machine learning model, to generate test applications for testing corresponding modifications to the application. The device may define test group sizes of test groups for testing the test applications, and may receive, from user devices, requests for accessing the application. The device may assign, based on the test group sizes, sets of the user devices to the test groups for testing the test applications, and may provide the test applications concurrently to the corresponding sets of the user devices based on the test groups. The device may receive, from the corresponding sets of the user devices, feedback associated with the test applications, and may perform one or more actions based on the feedback.

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to identify products that a user may be interested in purchasing. For example, a model may be created for a user, and attributes of products available for sale may be compared to the model. When determining that a user may be interested in a particular product, a graphical user interface (“GUI”) may be pre-populated and presented to a device of the user, to facilitate the user purchasing the product with minimal interaction.

Abstract: Systems and methods for integrating distinct software architectures are disclosed. In some implementations, a content management server receives, from a customer device, a request for a page associated with a product for sale. The content management server transmits, to a search/indexing server, using a bridge, a request to find content for the page associated with the product. The content management server receives a location of the content for the page associated with the product. The content management server transmits, to an ecommerce server, a request for ecommerce functionality for the page. The content management server transmits, to the customer device, data for loading the page associated with the product, the data for loading the page including the content for the page and the ecommerce functionality for the page.

Abstract: Systems and methods for integrating distinct software architectures are disclosed. In some implementations, a content management server receives, from a customer device, a request for a page associated with a product for sale. The content management server transmits, to a search/indexing server, using a bridge, a request to find content for the page associated with the product. The content management server receives a location of the content for the page associated with the product. The content management server transmits, to an ecommerce server, a request for ecommerce functionality for the page. The content management server transmits, to the customer device, data for loading the page associated with the product, the data for loading the page including the content for the page and the ecommerce functionality for the page.