In some examples, artificial intelligence and machine learning based conversational agent may include ascertaining, based on a chat conducted with a conversational chatbot, a request by a user to purchase a product, and an attribute associated with the user. An intent associated with the user to purchase the product may be generated. Further, a catalog that includes a plurality of products that match the request by the user to purchase the product may be generated. Selection of a product from the plurality of products may be received. Identification of a quantity associated with the selected product may be received. A purchase request may be generated. A purchase order associated with the selected product may be generated. Further, based on the purchase order associated with the selected product, the selected product may be procured for the user.

A method of providing access to auxiliary data for a provider subsystem includes: storing offer data corresponding to an item, the offer data including (i) primary data, and (ii) auxiliary data defining an adjustment between the primary data and corresponding published data stored at an external repository; storing the offer data in an auxiliary repository; in response to an order request from a client subsystem: obtaining an order identifier corresponding to the offer data; and updating the auxiliary repository to store the order identifier in association with the offer data; in response to obtaining the order identifier, generating a reporting message for transmission to a provider subsystem, the reporting message containing the primary data and omitting the auxiliary data; and subsequent to generating the reporting message, retrieving the offer data from the auxiliary repository, and sending at least the auxiliary data to the provider subsystem.

An information processing apparatus includes a processor, and the processor is configured to: accept an order related to production and including objects and a quantity about at least one user; and change the quantity of the accepted order so that, of a resource used for the production of the objects, a portion which cannot be used for the production is not larger than a predetermined standard.

Arrangements for providing multi-channel tracking and control are provided. In some examples, a request for a quantity of product may be received. The request may be processed and the order transmitted to a destination. During shipping, tracking of the order may be performed to determine whether an order has arrived at a destination. In some examples, quality data may be captured at the destination to determine whether a portion of the order was damaged or destroyed during shipping. In some arrangements, upon detecting delivery of the order the system may generate one or more instructions to update an inventory of the requesting entity based on delivery of the order. In some examples, machine learning may be used to predict when an entity may submit a subsequent request for product, a recommended amount of product, and the like. This information may be transmitted to a requesting entity to simplify future processing requests.

A method for distributing network services for a network device through a multi-tenant network service. An identification parameter is associated with the device and is stored in a database by an orders management system after the device is ordered. The method includes establishing a network connection between a network device and a multi-tenant network service and, in response to establishing the network connection, obtaining device-associated identification parameter from the network device. The identification parameter is used to query the database for at least one record associated with the network device identifying a tenant of the multi-tenant network service in which the tenant corresponds to the device. The service maps the network device to the identified tenant of the multi-tenant network service and distributes network services based upon the mapping of the network device to the identified tenant.

Disclosed are various embodiments for providing a continued item purchase experience for users wishing to repeat purchases of items when previously purchased items have been discontinued or are no longer available. A replacement item is identified for an item that is determined to be discontinued. The interaction history of the discontinued item is associated with the replacement item. A user interface is generated to include a listing of previously purchased items, including the replacement items that are arranged in a particular order. The replacement item is arranged in the user interface according to the interaction history of the discontinued item.

Systems and methods are disclosed that provide for a linking of a product database across different search platforms and then managing payments by a generalized search entity such that users are not transitioned to a merchant site from advertisements or search results. A method includes establishing, at a generalized search entity, a link to a product database of a merchant, offering, by the generalized search entity and based on a correlation of search terms to the product database of the merchant, search results across at least a first search platform and a second search platform and receiving, from a user, a confirmation of a payment for a product associated with a search result presented on the first search platform by the generalized search entity. The generalized search entity processes the payment for the product without transitioning the user to a site operated by the merchant. A universal shopping cart can be used to pay once for a plurality of products selected from different merchants as managed by the generalized search entity.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving a request from a user, wherein the request can comprise: (1) an order list of one or more items; and/or (2) a delivery address for a delivery of the one or more items of the order list to the user; determining, using a regression analysis, an estimated order collection time for a collection of the one or more items of the order list by at least one collector, wherein the regression analysis can use: one or more independent variables affecting the estimated order collection time; respective coefficients of each respective independent variable of the one or more independent variables affecting the estimated order collection time; and/or a constant applicable to the at least one collector; continuously monitoring a respective location of each respective delivery driver of one or more delivery drivers of at least one delivery service; continuously determining a respective estimated order pickup time for each respective delivery driver of the one or more delivery drivers of the at least one delivery service using the respective location of each respective delivery driver of the one or more delivery drivers of the at least one delivery service; and when a first estimated order pickup time for a first delivery driver of the one or more delivery drivers is approximately equal to the estimated order collection time, instructing the first delivery driver of the one or more delivery drivers to pick up the one or more items and deliver the one or more items to the delivery address. Other embodiments are disclosed herein.

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.

Techniques are described for electronic content delivery. One method includes receiving information associated with the prescription order of a user account. In some cases, the information associated with the prescription order includes a medication identifier. The method may include performing a search using the medication identifier to obtain electronic medication documentation. The method may also include transmitting a sponsored content request that includes the medication identifier and receiving sponsored content information responsive to the sponsored content request. The method may further include determining that the user account has authorized communication via a user device and transmitting the electronic medication documentation and/or sponsored content information to the user device. In some examples, the method may include transmitting an indication that the electronic medication documentation and/or sponsored content information was transmitted to the user device.