Abstract: A network computing system provides an interactive menu to enable a consumer to initiate an order session. The network computing system can detect the order session is for placement of a group order, and can further provide a recommendation to the requesting consumer with respect to personalizing the group order for individual members of the group.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a deposit transaction predictor model to facilitate downstream access to deposit transaction prediction data through a data pipeline. For instance, the disclosed systems can enable universal access to deposit transaction prediction data to various downstream services by utilizing a data pipeline that identifies data for a user account from various data sources, transforming the data into deposit transaction prediction data utilizing a deposit transaction predictor model, and updating a deposit transaction prediction data source with the deposit transaction prediction data. For instance, the disclosed systems can utilize the deposit transaction predictor model to analyze various user account data to determine patterns that indicate deposit transaction prediction data.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize deposit transaction prediction data from a deposit transaction predictor model to generate a graphical user interface (GUI) that indicates an available deposit balance and options for the available deposit balance. Indeed, the disclosed systems can enable access to an available deposit balance on a user account prior to an occurrence of a predicted deposit transaction as indicated by the deposit transaction predictor model. For example, the disclosed systems can receive deposit transaction prediction data from a data pipeline that includes a deposit transaction predictor model. Moreover, the disclosed systems can determine an available deposit balance from the deposit transaction prediction data.

Abstract: A network computing system provides an interactive menu to enable a consumer to initiate an order session. The network computing system can detect the order session is for placement of a group order, and can further provide a recommendation to the requesting consumer with respect to personalizing the group order for individual members of the group.

Abstract: A network computing system to coordinate a completion time of at least a portion of an order request with a target completion time, where the target completion time reflects an estimated time of arrival for a transportation provider with respect to a location of the supplier. The network computing system can coordinate the completion time by determining a timing of when at least a step in the preparation of at least the portion of the order request is performed by the supplier, based on an estimated arrival time of a transport provider. The network computing system can perform one or more control actions to influence the target completion time, based on the determined timing.

Abstract: A network computing system provides an interactive menu to enable a consumer to initiate an order session. The network computing system can detect the order session is for placement of a group order, and can further provide a recommendation to the requesting consumer with respect to personalizing the group order for individual members of the group.

Abstract: A network computing system to coordinate a completion time of at least a portion of an order request with a target completion time, where the target completion time reflects an estimated time of arrival for a transportation provider with respect to a location of the supplier. The network computing system can coordinate the completion time by determining a timing of when at least a step in the preparation of at least the portion of the order request is performed by the supplier, based on an estimated arrival time of a transport provider. The network computing system can perform one or more control actions to influence the target completion time, based on the determined timing.