A checkout system includes a mobile point-of-sale (POS) apparatus and a server. The mobile POS apparatus includes a code reader, a user interface, a display, a wireless communication interface, and a processor. The processor controls the wireless communication interface to transmit a product code read by the code reader and a settlement instruction based on a user operation on the user interface. The server is configured to generate a data record including the product code and transmit a settlement request to a settlement server upon receiving the settlement instruction. If a settlement non-completion response is received from the settlement server, the server stores transaction data including a first identifier indicating the settlement request and a second identifier indicating the transaction data in a database and causes the display of the mobile POS apparatus to display a code symbol representing the second identifier.

Some embodiments provide a product inventory information distribution apparatus, comprising: a central electronic data storage buffer; a control circuit; and a memory storing computer instructions that when executed cause the control circuit to: detect product inventory update information messages, wherein each of the product inventory update information messages is received from one of multiple different product inventory systems and is generated by a corresponding one of the multiple product inventory systems when one of the multiple product inventory systems detects a change in an inventory state corresponding to any one of hundreds or more products available through the product inventory storage facility; direct each of the multiple product inventory update information messages to the central electronic data storage buffer; and maintain messages in the central electronic data storage buffer received during a buffer retention window of time.

Methods and systems are presented for dynamically modifying electronic content presented on a user device by third-party content providers based on goals associated with one or more entities. A content modification system may receive inputs related to goals for a user. The content modification system may synthesize the goals associated with the user. When the user uses a user device to request content from a third-party server, the content modification system may obtain the content and extract items included within the content. The content modification system may modify the content based on the synthesized goals, such as re-arranging the items, highlighting some of the items, or adding and/or removing items. The content modification system may cause the user device to present the modified content.

In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.

Systems and methods change a user interface for the purpose of guiding a user in supplementing a product listing with an image to evidence the product's authenticity. Example embodiments include a machine-implemented method for accessing at least one database to retrieve an authenticity criterion mapped to a product and at least one reference image that depicts adequate detail of a product specimen to fulfill the authenticity criterion. The machine can further cause a user device to display the reference image to the user along with a suggestion that the user submit a candidate image depicting similar detail of the product. In some example embodiments, the method further includes retrieving the candidate image, confirming receipt of the candidate image, and displaying the candidate image, as well as adjusting a rank for a candidate specimen based on various factors.

A method and a computer system for performing the method of determining an initial value or lifetime value for a domain name is provided. The method for determining an initial value includes obtaining, over a communication network, a domain name from requestor; obtaining, over the communication network, one or more inputs from one or more domain name data sources; applying the one or more inputs and the domain name to an initial lifetime worth computer model, wherein the one or more inputs comprise data related to comparable historical domain names, data from a linguistic model analysis, data from a linguistic frequency list, and data related to a second-level domain to top-level domain relationship analysis; determining, by a hardware processor, an initial lifetime worth for the domain name based on the initial lifetime worth computer model; and providing the initial lifetime worth for the domain name to the requestor.

A method and a computer system for performing the method of determining an initial value or lifetime value for a domain name is provided. The method for determining an initial value includes obtaining, over a communication network, a domain name from requestor; obtaining, over the communication network, one or more inputs from one or more domain name data sources; applying the one or more inputs and the domain name to an initial lifetime worth computer model, wherein the one or more inputs comprise data related to comparable historical domain names, data from a linguistic model analysis, data from a linguistic frequency list, and data related to a second-level domain to top-level domain relationship analysis; determining, by a hardware processor, an initial lifetime worth for the domain name based on the initial lifetime worth computer model; and providing the initial lifetime worth for the domain name to the requestor.

Systems and methods for automated product recommendation are disclosed herein. This can include generating an entry, the entry corresponding to an item selected for purchase, in a mirror-cart linked with a user account and identifying a recipe associated with the selected item. This can include comparing items identified in the recipe to items contained in the mirror-cart to identify a missing item that is not in the mirror-cart, and then prompting the user to purchase the missing item. Automated product recommendation can include generating an entry in the mirror-cart linked to the missing item when the user selects the missing item for purchase, updating an invoice with price information for the selected missing item, and transferring the invoice to a point of sale terminal at the retail location.

A method is provided for recording purchase transactions, including: receiving a purchase order request that is associated with a purchase order, the purchase order request being received from a purchaser-side system, the purchase order request including purchase information identifying a product, a product quantity, and a first order identifier that is assigned to the purchase order by the purchaser-side system; generating a transaction document in response to the purchase order request, including the purchase information into the transaction document, and recording the transaction document in a document sharing platform or shared cryptographically protected ledger; and progressively updating the transaction document with information provided by the purchaser-side system and a seller-side system as the purchase order is being fulfilled, wherein each update to the transaction document is recorded in the cryptographically protected ledger.

Various systems and methods that may relate to referral and/or delivery services are described. Some embodiments may include billing SMS ordering.