A method and system in which the system receives input data for a first unit to determine a unit feature signal and a unit demand signal including predictive demand features. The system then determines, for the first unit at each of a plurality of offer values, a set of associated estimated probabilities that the offer value will be accepted within a short-term time period; determines an expected time-to-sell for the first unit at each of the plurality of offer values; determines an optimal offer value for the first unit; and displays the optimal offer value for the first unit on a webpage.

A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

A system and method for creating and using enabled products sets (EPSs) includes an e-shop developer system in communication with a website building system (WBS), the e-shop developer system to create, modify and update at least one EPS for display in at least one e-shop of a website of the WBS, the at least one EPS to provide continuously updated fulfillment and backend information for its products. The e-shop developer includes an EPS generator tool to provide manual creation and editing services and automatic creation and updating of the at least one EPS, an e-shop builder to receive a user selected at least one EPS and to match the at least one user selected EPS to at least one template for display within the at least one e-shop and an evaluation and integration engine to provide recommendations for the EPS generator tool and the e-shop builder.

Methods, apparatus, systems and articles of manufacture to monitor media presentations are disclosed. An example tangible computer readable storage medium includes instructions that, when executed, cause a machine to at least instrument media with monitoring instructions; provide the instrumented media to a media device via a hypertext transport secure protocol, the monitoring instructions to cause the media device to request a panelist identifier associated with the media device; detect a media event based on an action of the media device; determine media-identifying information based on the media event; and generate a record including the media-identifying information and the panelist identifier.

A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Systems and methods are disclosed herein for monitoring a location of a client device associated with a transportation service and generating augmented reality images for display on the client device. The systems and methods use sensor data from the client device and a device localization process to monitor the location of the client device by comparing renderings of images captured by the client device to renderings of the vicinity of the pickup location. The systems and methods determine navigation instructions from the user's current location to the pickup location and select one or more augmented reality elements associated with the navigation instructions and/or landmarks along the route to the pickup location. The systems and methods instruct the client device to overlay the selected augmented reality elements on a video feed of the client device.

A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely manage transfers of digital assets between computing devices using permissioned distributed ledgers. By way of example, an apparatus may receive, from a first device, a request to transfer a digital asset to a second device and a first digital signature applied to the request. Based on a validation of the first digital signature, the apparatus may approve the request and apply a second digital signature to the request and the first digital signature indicative of the approval of the request by the apparatus. The apparatus may also transmit the request, the first digital signature, and the second digital signature to a computing system, which may validate the first and second digital signatures and perform operations that record the first public key and asset data identifying the digital asset within at least one element of a distributed ledger.