A computer-implemented method for incentivizing logistically convenient delivery orders is disclosed. The method includes monitoring, by a computing device, delivery orders of users which include a pick-up location, a drop-off location, an estimated time of pick-up, and an estimated time of drop-off. The method further includes determining, based on the monitoring of delivery orders, a trending drop-off location and a trending drop-off time. The method further includes determining, based on the trending drop-off location, the trending drop-off time, and a current location of the users, a subset of users. The method further includes sending to the subset of users an incentive to place a delivery order.

Methods and systems are provided for utilizing interactive UI dialogs to resolve issues that may arise during the real-time ordering and activation of wireless products and services while a user is engaged during their session. The interactive UI dialogs may provide a customer with an opportunity to provide information, make decisions or trigger additional steps during the real time order.

An image forming apparatus is configured to receive the message window data from the ordering server apparatus, store the message window data in the nonvolatile storage device, display the message window on the display device, detect a request to minimize the message window input via the input device, and then display a minimized GUI on the display device, and detect a request to maximize the minimized GUI input via the input device when the minimized GUI is displayed on the display device, and then read the message window data from the nonvolatile storage device and display the message window on the display device.

In a method of observation platform buy-online-pickup-in-store (BOPIS) integration, a BOPIS application is provisioned at an observation platform. The provisioning is administered by a cloud services platform in collaboration with a computer system of the observation platform and includes configuration and deployment of the BOPIS application within the observation platform. An automation software component is sent from the BOPIS application for resident installation at an external retailer system which is external to an environment of the observation platform. The automation software component organizes information in the external retailer system for exchange, via a cloud-based gateway, with the BOPIS application. A message regarding a BOPIS order populated in the external retailer system is received at the BOPIS application from the external retailer system. The observation platform sends, to a device of a user of the observation platform, a task request to perform a task related to the message.

The systems and methods may identify order requests from internal messaging or collaboration systems. Once order requests are identified, the systems and methods determine purchase orders based on the requests, and generate tokens (e.g., virtual credit cards) specific to a purchase order, to be used by the requestor to complete the purchase of requested items or services. Once the tokens are used, the systems and methods may then track the purchases in various databases, providing the organization with various views or insights into their employee's expenditures.

In accordance with an embodiment, a registration apparatus comprises an information acquisition section configured to acquire commodity information of a commodity; a residual quantity acquisition section configured to acquire remaining battery level; and a communication section configured to transmit the commodity information input by the information acquisition section to a server if the remaining battery level is equal to or less than a first threshold value.

Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions according to review and approval workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows and/or microservices. Other aspects may provide for data snapshots and workflow tracking, allowing for monitoring, quality control, and auditability of transactions on the transaction exchange platform.

Disclosed embodiments are generally directed to computerized system for delivery wave scheduling. The methods may comprise at least: receiving, from a remote system, order information comprising a plurality of products and associated identifiers; determining fulfillment centers and delivery waves, from a plurality of delivery waves, for each product in the plurality of products, based on the associated identifier and the remote system; storing the determined delivery waves in association with the products in a database; determining that at least one delivery wave is associated with an earlier time period than a later delivery wave, and responsive thereto: modifying the database so that the products originally associated with the earlier delivery waves are associated with the later delivery wave; and forwarding computer instructions to at least one mobile device to generate a graphical user interface displaying the products and information associated with the second delivery wave.

Systems, methods, apparatus, computer program code and means are provided for bulk costing using an application server which receives a bulk costing request from a remote user device, the bulk costing request including a list of items to be costed and a set of input variables. A final list of components and assemblies is generated including a scenario for each item to be costed for each combination of input variables. A deep costing analysis is performed of the final list, resulting in an estimated cost for each of the items to be costed for each of the input variables.

This disclosure is directed to item-identifying carts that may be utilized by users to automatically identify items that the users place in their carts. In addition, these carts may automatically determine the outcome of respective events that occur with respect to these identified items. For example, the carts may be configured to identify one or more items that are placed into or removed from the cart, and thereafter determine one or more actions taken with respect to the identified items and a quantity of the items involved. For example, after identifying a first item and a second item either placed into or removed from the cart, the cart may determine that the user added two instances of the first item and removed one instance of the second item. In response to making this determination, the cart may update a virtual cart of a user operating the physical cart.