Abstract: Identifying existing orders of non-subscribers that are eligible for subscription-based shipping program features, enrolling the non-subscriber, and instructing modification of the fulfillment of the existing order based on the enrollment is described. A non-subscriber places an order for an item and a fulfillment plan is generated for the order. A determination is made whether the order is eligible for subscription-based shipping based on various factors and if eligible, the non-subscriber may subsequently be notified in a message that if she/he were a subscriber, they would have had their item by now. Analysis associated with the determination may include analysis of various possible fulfillment options that provide various mixes of factors such as inventory location, shipping cost, and available time, for example. If the non-subscriber agrees to become a subscriber, she/he is enrolled as a subscriber and the fulfillment plan for the existing order may be accelerated.

Abstract: In some examples, a content variation service may identify elements of content and generate variations of the elements of the content programmatically. Content may include a website and the elements of the content may include visual and structural elements that make up the website. The variations of the elements may be provided with the content to a user as part of an engagement test. The engagement test may test how the user interacts with the variations of the elements. Based on results of the engagement test, the elements of the content may be adjusted and other variations may be generated.

Abstract: Methods and systems are disclosed for providing user authentication based on users' access patterns to a plurality of digital objects. The plurality of digital objects may include software applications installed on user devices or data objects within a specific application (e.g., UI objects or database objects). The access patterns can include an order of access that a user routinely takes to access such objects. Historical user behavioral information can be collected and used to generate such patterns for users. The patterns may be compared with subsequent user behavioral information to determine authenticity of subsequent users associated with the subsequent user behavioral information. For example, a subsequent order of access to digital objects can be compared with historical access patterns to determine whether there is a match. Authentication may or may not be requested based on the result of such a comparison.

Abstract: Past order history of a user of an electronic marketplace may be obtained, the past order history indicating at least one-previously delivered item. A particular item of the item type may be selected based at least part on an expiration date associated with the particular item and one or more replenishment dates associated with the previously-delivered item. An automated order may be generate that cases the selected item to be shipped to the user.

Abstract: Systems and associated processes for generating user pagination preference data and using that data to generate and/or present network pages are described herein. These systems and processes can dynamically collect data representing a user's preference respecting specific layout determination factors, and can store this data in association with the user. The systems and processes can also make use of that data to provide the user with a personalized user interface which will provide the user with a page layout tailored to that specific user's browsing habits. Moreover, data representing the attributes of the requested content or the user device may further contribute to generating a page layout which optimally displays the requested content to the user. Accordingly, user pagination preference data can potentially both present a more satisfying user interface and elicit more item purchases than existing pagination systems in some embodiments.

Abstract: In some examples, a user may be enabled to organize a plurality of items for display within a table. The plurality of items may include items that are available for delivery on a subscription basis from an electronic marketplace. The table may be arranged in accordance with a period corresponding to at least one of plurality of delivery intervals. The user may adjust the placement of individual items by using a drag-and-drop operation. Based at least in part on the location of individual items, delivery intervals may be determined for delivery of individual items.