A server may execute a first shipping process for shipping a first consumable article for a printer and store first identification information in a memory. The server may receive consumable article information from an external device, determine whether a notification condition is satisfied and determine whether the first identification information matches second identification information included in the consumable article information. In a case where it is determined that the notification condition is satisfied and the first identification information matches the second identification information, the server may send a first notification to external. In a case where it is determined that the notification condition is not satisfied, the first notification is not sent, and in a case where it is determined that the first identification information does not match the second identification information, the first notification is not sent.

The invention relates to a computer-implemented method for generating an electronic supply list (1) by a server computer (2) for transmission to a client computer (3, 3′, 3″), a computer-readable storage medium with instructions which cause a server computer (2) to perform such a method, and a device for carrying out such a method.

Aspects of the disclosure described herein provide for a streamlined system for developing an order fulfillment process. The system may include a stateless web resource application programming interface (API) supported by a server, which may be configured as an endpoint to receive order requests (e.g., via an e-commerce website) and generate an instance of a complex object based on the order request. The instance of the complex object may be generated according to an invocable action configured at the system and may include one or more nested data types corresponding to order parameters indicated by the order request. The instance of the complex object may be processed according to fulfillment rules to generate a response to the order request. The response to the order request may include an identification of an order fulfillment center, a fulfillment order, etc.

Disclosed herein are various embodiments for targeted document information extraction. An embodiment operates by receiving a document associated with a particular customer of a plurality of customers. It is determined whether to use a global processor or template processor to analyze the document based on whether one or more customer templates are associated with the particular customer. Which of the one or more templates associated with the particular customer correspond to the document is identified. The document is compared to the identified template associated with the customer. Information is extracted from the document based on the identified template and the identified plurality of variations. The extracted information for the document is output.

A system for populating web-based form and managing e-commerce checkout process is disclosed. Combined with the data mapping to user profile, the checkout workflow should be able to make all of the necessary calls on behalf of the user to perform checkout completely. The system performs user authentication to ensure that the user profile is accessed only by the authorized user. During run-time, the program adds the product to cart, and load the checkout pages on behalf of the user, remembers the states such as the cookies and CSRF tokens and performs the form filling using their user profile data. The system makes one or more server calls to the e-commerce website from at least one of the servers or a browser in one click based on filled we-based form to complete a checkout process.

The present disclosure provides a computerized method item correlation including: receiving an indication of an order comprising at least one item; determining if the order is urgent based on an amount of time remaining until the items must ship to a customer; determining a location of each of a plurality of pickers; iteratively, for items in the order: identifying a picker closest to the item, the picker having a current job priority; correlating the closest picker and the item in a data structure; re-correlating, in the data structure, at least one item previously correlated with the closest picker to an alternate picker in response to the current job priority not being urgent; sending, to a user device of the closest picker, a location and item identifier associated with the item; and storing, in the data structure, a completion flag in correlation with the item upon receipt of an item-complete message.

A computer-implemented method for managing data associated with electronic inventory management of wearable articles includes receiving, wearable article data describing wearable articles made available for physical shipment to users via electronic interactions, wherein one or more electronic interfaces are accessible over one or more networks. The method includes assigning a category to one or more wearable articles described in the wearable article data, the category being selected from a plurality of categories including a first category for selection by a first plurality of users and a second category for selection by a second plurality of users. The method also includes monitoring availability data, the availability data indicating an availability of one or more wearable articles for selection by one or more users interacting with a first electronic storefront, a second electronic storefront, or both, and initiating one or more services to facilitate physical shipment of a first wearable article.

Disclosed is e-commerce processing for an event-centric online shopping transaction. The e-commerce processing involves receiving an identification or selection of an event from a device of a customer, and the disclosed methods and systems use the identified and/or selected event to populate, without item-related input from the customer, an online shopping cart with items for purchase in an e-commerce computing environment. The e-commerce processing can be accomplished without any party to the transaction having to add items to the online shopping cart on an item-by-item basis.

In an automated product delivery method a request for delivery of a product is received from a user device. One or more product delivery options are determined and transmitted to the user device and a selected product delivery option is received from the user device. The product is provided to the selected delivery location in advance of the selected delivery time window. A delivery processing server receives user device location information and determines an estimated arrival time of the user at the delivery location. At the estimated arrival time, the product is securely staged for pickup by the user. The delivery processing server receives user validation information, and responsive to validation of the user information, transmits to the delivery location processing device, an instruction to allow access to the product by the user, and access to the product by the user is allowed.

Systems and methods for detecting predetermined events occurring during delivery of an ordered product to a delivery address is provided. Upon receipt of a customer order, delivery of the ordered product is assigned to a delivery driver/vehicle which includes a stand-alone communication device disposed in the delivery vehicle. As the delivery trip begins, various position and acceleration information is collected by the communication device, processed to determine whether a predetermined driving event has occurred, and stored. This information is transmitted periodically to a processing system for eventual communication to a home location store associated with the delivery order. Additional processing of the delivery trip data may occur to enable a review of the delivery trip and any detected events along the delivery path.