Disclosed are various embodiments for detecting security breaches using watchdog transaction accounts. A security agent can initiate a purchase with a first electronic commerce system and provide a watchdog transaction account as payment for the purchase. The security agent can then store a record of the purchase which includes a merchant identifier for the merchant and the watchdog transaction account. Subsequently, a transaction authorization system can determine that authorization for a transaction with second electronic commerce system failed. If the transaction authorization system determines that the account used in the transaction with the second electronic commerce system, then the transaction authorization system can determine that the first electronic commerce system has suffered a security breach.

Disclosed are one or more embodiments for a unique and personalized experience for a user interacting with an electronic commerce site by identifying user-preferred item attributes using supervised machine learning and presenting items to the user in an arrangement that is based on the identified item attributes. A shopping mission is determined according to user interactions with an electronic commerce site. The shopping mission is applied to an attribute prediction model that is trained to detect user-preferred item attributes for items included the item category and estimate a likelihood that an item containing a particular attribute will be purchased or interacted with during the interactions with the electronic commerce site.

Mobile battery powered workstation carts for order fulfillment are disclosed herein. In one embodiment, a battery powered workstation cart may comprise a wheeled cart having a frame, a rechargeable lithium battery, a computer, a barcode reader/scanner, a RFID reader/scanner, a printer, an artificial intelligence hub, Wi-Fi, Bluetooth Low Energy (BLE), and/or GPS. The frame may also comprise two side bracket arms and/or shelves, which may be modular to receive various different sized baskets, bins, or totes therein to expedite retail order fulfillment.

Systems and methods to extract and utilize textual semantics are described. The system receives item information that describes an item for sale on a network-based marketplace and analyzes the item information to generate application information that identifies a plurality of applications. The plurality of applications includes a first application that further includes the item as a first component of the first application. The system stores a listing in a database that includes the application information and the item information and publishes the listing on the network-based marketplace to sell the item via the network-based marketplace.

Method, system, and media for improving a fan experience for an event at a venue with a live audience. Broadly speaking, embodiments of the invention provide techniques for systematizing fan interactions based on automatically detected fan groupings and criteria triggering activation events. Fans are classified into audience groupings based on collected data associated with each fan. Fan interactions map activation criteria (such as activities performed by the fan or purchases made by the fan, information about the event, or the ambient conditions) to activation events that can collect additional data about the fan, incentivize the fan to make a purchase, or improve the fan experience in some other way.

A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.

A curbside management system and method for managing curbside use by connected and/or autonomous vehicles that includes one or more computing devices that execute instructions. One or more processors integrate at least a navigation component, an asset verification component, and a curbside management component, configured to generate recommended curbside access destinations for a vehicle associated with the customer and one of which is selected as the final curbside destination for the vehicle.

The present disclosure provides a technique that enables customization of a vehicle. In an information processing apparatus, a controller presents vehicle units extracted from among a plurality of types of under units each of which is provided with a driving mechanism configured to cause wheels to rotate and a plurality of types of upper units to be loaded on any of the under units to a user, the vehicle units being combinable as a vehicle. Furthermore, the controller executes: accepting selection by a user from among the presented vehicle units; and calculating a fee in the case of providing the selected vehicle units.

Methods and systems for transferring information, comprising: transmitting, by a first computing device of the first computing system, a first network function request to a decentralized network, the first network function request including first information; and transmitting, by a second computing device of the second computing system, a second network function request to the decentralized network, the second network function request including second information.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. In certain embodiments, one or more models may be applied over a set of historical transaction data associated with a vehicle configuration to determine pricing data. Some models may leverage incremental data in various conditions, including cases where fewer than a desired number of historical transactions are present in the bin of a specified vehicle, where fewer than, equal to, or more than a certain number of list prices for the specified vehicle available, and where no historical transaction data for new models is available.