Abstract: Various embodiments improve existing technologies by generating one or more user interface elements or personalized pages based on determining that a set of inventory items are within a geographical vicinity (e.g., a threshold distance) of a user. In response to a determination that a particular item is within a geographical vicinity of a user, some embodiments cause display of a page (e.g., a personalized page) that identifies item and/or other information, such as an identity and address of the local retailers that offer the item for sale. Such functionality can be integrated with additional functionality, such as electronic marketplace searches and item listings, and local delivery service requests, among other things.

Abstract: Various embodiments improve existing technologies by generating one or more user interface elements based at least in part on consumer demand of an item in various geographical regions. Such consumer demand can be computed in response to receiving an indication that a user needs to place an item in an inventory center. Some embodiments can use one or more machine learning models or other statistical models to predict consumer demand to select the particular inventory center. Some embodiments can additionally or alternatively rank each inventory center or recommend an inventory center based on the consumer demand and/or other factors, such as cost. All of this functionality not only improves upon the functionality of existing technologies, but improves the user experience and computing resource consumption relative to other technologies.

Abstract: Various embodiments improve existing technologies by generating one or more user interface elements or personalized pages based on determining that a set of inventory items are within a geographical vicinity (e.g., a threshold distance) of a user. In response to a determination that a particular item is within a geographical vicinity of a user, some embodiments cause display of a page (e.g., a personalized page) that identifies item and/or other information, such as an identity and address of the local retailers that offer the item for sale. Such functionality can be integrated with additional functionality, such as electronic marketplace searches and item listings, and local delivery service requests, among other things.

Abstract: Various embodiments improve existing technologies by generating one or more user interface elements based at least in part on consumer demand of an item in various geographical regions. Such consumer demand can be computed in response to receiving an indication that a user needs to place an item in an inventory center. Some embodiments can use one or more machine learning models or other statistical models to predict consumer demand to select the particular inventory center. Some embodiments can additionally or alternatively rank each inventory center or recommend an inventory center based on the consumer demand and/or other factors, such as cost. All of this functionality not only improves upon the functionality of existing technologies, but improves the user experience and computing resource consumption relative to other technologies.

Abstract: A resource provider is disclosed which, upon receiving selection of a resource from a first party for delivery to a third party, automatically determines configuration and/or customization settings for the specific resource based upon the third party user's target device and/or their preferred customizations. In doing so, the first party does not need to have specific knowledge about the third party in order to correctly configure or customize the resource for use by the third party. Upon receiving a selection of a resource, the resource provider determines configurable and customizable features for the selected resource.

Abstract: Various embodiments improve existing technologies by generating one or more user interface elements based at least in part on consumer demand of an item in various geographical regions. Such consumer demand can be computed in response to receiving an indication that a user needs to place an item in an inventory center. Some embodiments can use one or more machine learning models or other statistical models to predict consumer demand to select the particular inventory center. Some embodiments can additionally or alternatively rank each inventory center or recommend an inventory center based on the consumer demand and/or other factors, such as cost. All of this functionality not only improves upon the functionality of existing technologies, but improves the user experience and computing resource consumption relative to other technologies.

Abstract: Various embodiments improve existing technologies by generating one or more user interface elements or personalized pages based on determining that a set of inventory items are within a geographical vicinity (e.g., a threshold distance) of a user. In response to a determination that a particular item is within a geographical vicinity of a user, some embodiments cause display of a page (e.g., a personalized page) that identifies item and/or other information, such as an identity and address of the local retailers that offer the item for sale. Such functionality can be integrated with additional functionality, such as electronic marketplace searches and item listings, and local delivery service requests, among other things.