Abstract: A system for customer notification system based on outage state of risk prediction, comprising a correlator system operating on a processor and configured to receive uncorrelated outage data, weather data and graph data and to generate geographically and temporally correlated outage data, weather data and graph data. A machine learning system operating on a processor and configured to receive geographically and temporally correlated outage data, weather data and graph data and forecast data and to generate prediction data. A state of risk system operating on a processor and configured to receive the prediction data and to generate state of risk data. A customer notification system operating on a processor and configured to receive the state of risk data and to generate customer notifications as a function of the state of risk.

Abstract: A computing system for achieving traceability in a food commodity supply chain is provided, including a server computing device configured to receive a message indicating an optical code associated with a unit of a food product has been scanned by a camera-equipped computing device at a location, in which the message includes a product unit-specific identifier encoded in the optical code. The server computing device is further configured to identify in a database, a merchant record including the product unit-specific identifier and a merchant identifier of a merchant at the location. The server computing device is further configured to trace a supply chain path of the unit of the food product through additional records in the database that are linked to the product unit-specific identifier, and output supply chain derived information on the unit of the food product based on the traced supply chain path.

Abstract: A computer-implemented method for verifying ownership of a deep learning (DL) model includes: obtaining a Gaussian mixture distribution for initialization of a DL model to be verified, a model chain to be verified of the DL model, and a corresponding verification dataset, wherein the model chain is composed of model parameters of the DL model in each training epoch; calculating, based on the Gaussian mixture distribution, the model chain and the verification dataset, an accuracy monotonicity index, a parameter distance monotonicity index, a parameter distribution continuity index, an initial parameter distribution index, an initial parameter randomness index and a model chain distance index; and obtaining an ownership verification result by determining an authenticity of the model chain based on the accuracy monotonicity index, the parameter distance monotonicity index, the parameter distribution continuity index, the initial parameter distribution index, the initial parameter randomness index and the model c

Abstract: According to some embodiments, an enterprise proprietary data store contains a set of electronic data records, each electronic data record having with proprietary data and an associated governance structure. A compliance computer platform may receive the proprietary data and associated governance structure from the enterprise proprietary data store and define enterprise-wide decision accountabilities for the proprietary data based on the governance structure. The compliance computer platform may also define privacy objectives for the proprietary data based on the governance structure along with specific machine-level controls to test and confirm compliance with the governance structure.

Abstract: This method, platform or patent is planned economy under a market economy, eliminates random or blind production by factories and random or blind consumption by consumers and supply according to demand all people in the world from birth to death with the best product, goods, and service quality and the lowest prices through “non-retail” in a non-traditional sense, “no fixed cost expenses such as bank interest required by typical businesses,” “eliminating random or blind production by manufacturers and consumption by consumers,” “thoroughly eliminating waste in the production and consumption process,” “substituting, eliminating, and thoroughly eliminating inefficient small, medium, large, and even huge enterprises in every industry for every product, commodity, or service,” “consumers being able to buy the best quality, lowest price, and best value products, commodities, or services in the world,” “saving people's time and money in consumption,” “helping the poor and reducing poverty,” “green and low-carbon,”

Abstract: In examples, a method of controlling customer access to an assay system comprises (a) receiving a system identifier; (b) identifying said system identifier, and (c) utilizing information obtained from the system identifier to perform one or more operations selected from: (i) enabling full access to said system and/or a consumable used in said system; (ii) enabling partial access to said system and/or a consumable used in said system; or (iii) denying access to said system and/or a consumable used in said system.

Abstract: Embodiments described herein are generally related to systems and methods for providing access to software products or services in a cloud computing or other computing environment. Dynamic rate card management allows organizations to optimize the number of rate cards to a manageable level wherein, for example, rate cards can be associated with the type of contract policy. In accordance with an embodiment, in order to accommodate the use of dynamic rate cards, a migration service or process can be used to convert/migrate subscriptions that were originally created under a first, legacy or former subscription pricing model, to conform instead with a subscription pricing service model, for use with the various systems, methods, and features described herein.

Abstract: Systems, apparatus, and methods for determining unique contacts from a collection or pool of merchant data are discussed herein. Some embodiments may provide for an apparatus including circuitry configured to determine programmatic match results indicating whether different instances of merchant data match (e.g., describe the same contact). The circuitry may further determine probabilities of precision or recall errors with the programmatic match results. Programmatic match results having a high probability of error may be annotated by a user to generate user match results. The user match results may be used to generate a more reliable contacts database including unique contacts, as well as to train and/or update the match scoring algorithm. As such, the accuracy of machine-implemented binary classification is improved.

Abstract: An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retraining the model, the online concierge system generates updated item embeddings and updated user embeddings that account for the recent interactions by users with items. The online concierge system compares performance of the model using the updated item embeddings and the updated user embeddings relative to performance of the model using the existing item embeddings and user embeddings. If the performance of the model decreases, the online concierge system adjusts the updated user embeddings and the updated item embeddings based on the change in performance of the model. The adjusted updated user embeddings and adjusted updated item embeddings are stored for use by the model.

Abstract: At least one processor determines, based on reward information, whether a content of a reward satisfies a predetermined condition; at least one processor makes a first determination of, when the content of the reward does not satisfy the predetermined condition, whether user identification information is associated with terminal identification information on any one of a plurality of wearable terminals belonging to an operator; and at least one processor makes a second determination of whether the terminal identification information transmitted by a user terminal matches the terminal identification information on any one of the plurality of wearable terminals belonging to the operator.

Abstract: A spectator system and method that displays different views of an event, such as a sporting event, and in particular uses a position selected by the spectator to assist in displaying a view from the selected position. The spectator, using an internet device can zoom, pan, tilt and change the view, as well as change the view to another position, such as a finish line, goal, or a participant position (e.g. Driver of car #3 or Tiger Wood's position). The starting viewing position can be specified, as well as the target position or orientation from the starting viewing position. Vital information on the sporting event or a participant can be appended to the view. In some forms, artificial reality or any geographic referenced datasets can be used and combined, such as 3D imagery or 3D renderings, to enhance the experience.

Abstract: Presented herein are systems and methods of providing alerts based on events across network environments. A server may receive, from a plurality of computing devices, event data indicating completion of at least one objective of a plurality of objectives by a plurality of users associated with at least one network environment. Each of the plurality of objectives may define a corresponding action to be completed. The server may transfer a plurality of transactions from the first account to a plurality of second accounts associated with the plurality of users based on the event data indicating the completion of the at least one objective. The server may determine that the remaining amount in the first account is less than the threshold determined using a machine learning model. The server may automatically generate an alert message comprising an indicator that the remaining amount in the first account is less than the threshold.

Abstract: Systems and methods for assessing performance of a digital promotion associated with a product or service are disclosed. According to certain embodiments, the systems and methods may avail the digital promotion within an application operated by a set of treatment devices. Further, the systems and methods may determine which products or services are purchased by users of the set of treatment devices and by users of a set of control devices, and may assess a performance of the digital promotion based on information indicating the purchases by the treatment and control users. The systems and methods may additionally assess a return on investment metric of the digital promotion for a partner entity associated with the digital promotion.

Abstract: Techniques described herein include techniques for communicating information about the social behavior of users and transactions performed by users on a computer network. In one example, this disclosure describes a method that includes receiving information about identity disclosure activities performed by each of a plurality of users on the network; determining that the information about identity disclosure activities includes information consistent with a prior identity disclosure activity performed by a first user having a first user status on the network; increasing the first user status; determining that the information about identity disclosure activities includes information that is not consistent with a prior identity disclosure activity performed by a second user having a second user status on the network; and decreasing the second user status.

Abstract: The present disclosure relates to a demonstration experiment management system for managing a demonstration experiment. The demonstration experiment management system includes processing circuitry. The processing circuitry acquires information on a consent item of which a participant of the demonstration experiment consents to provide data among a request item. The request item is an item of which an executor of the demonstration experiment requests the participant to provide the data. Then, the processing circuitry calculates a contribution degree of the participant to the demonstration experiment based on at least the consent item. Then, the processing circuitry determines an incentive to be paid to the participant by the executor based on at least the contribution degree.

Abstract: Disclosed are example embodiments of systems and methods for generating one or more recommendations based on, at least in part, unstructured data. In an example embodiment, a method generally includes accessing transaction data representative of a plurality of transactions, the transaction data including unstructured data describing ones of the plurality of transactions and structured data indicative of the transactions, where at least a portion of the transactions involve a user. The method also includes compiling, by a computing device, using a convolution neural network (CNN) with the unstructured data from the transaction data and a recurrent neural network (RNN) with structure data of the transaction data, one or more feature vector indicative of the user. The method then includes generating a recommendation based on the feature vector for the user and publishing the recommendation.

Abstract: The present disclosure is directed toward a system that allows a promotion and marketing system to provide promotions to users of the promotion and marketing system for establishments that are currently not affiliated with the promotion and marketing system.

Abstract: Systems and methods for generating dynamic reward workflows based on determined tenant behaviors are described and contemplated herein. The method comprises providing a resident interface configured to receive tenant data. The method further comprises determining a tenant behavior based on the tenant data and generating a reward workflow based on the tenant behavior. A reward can be provided based on a determination that a task associated with the workflow is complete. By incorporating insights based on tenant and property data into reward workflows, embodiments address the need for predictive and customized reward workflows that maximize resource allocation for tenant retention.

Abstract: A portable terminal device of an embodiment includes, a coupon storage unit that stores coupon information related to a coupon; a display device; and a processor configured to display on the display device an image of a coupon, which includes a coupon code related to the coupon which has been designated and a use button of the coupon; determine, when the use button is operated, whether or not a predetermined time has elapsed since the use button was operated; and prohibit, when it is determined that the predetermined time has elapsed, use of the coupon displayed on the display device by displaying a piece of information other than the coupon code with a size and at a position to overlap with the coupon code, thereby making the coupon code unreadable.

Abstract: A system for a telematics data marketplace for a plurality of users including one or more processors. The one or more processors can be configured to perform certain operations. The operations can include receiving a request from a provider. The request can include a data specification. The operations also can include searching user data associated with the plurality of users based on the data specification to generate a search result. The user data can be associated with the plurality of users including telematics data. The operations additionally can include identifying one or more users of the plurality of users based at least in part upon the search result. The operations further can include transmitting a prompt to the one or more users. The prompt can indicate that the provider requests access to user data associated with the one or more users. The operations additionally can include receiving a response to the prompt from the one or more users. Other embodiments are described.

Abstract: A method of incentivizing a consumer to share data useful for ad targeting includes providing a mobile application with a dedicated digital keyboard and an integrated blockchain wallet; collecting first person data typed into the keyboard according to a smart contract; storing the data on a data storage medium; and rewarding the consumer for sharing the data. A system for incentivizing the consumer to share the data includes a mobile computing device having a processor and a memory. A mobile application resident on the memory includes a keyboard graphical interface integrated with a smart contract dashboard and a cryptocurrency wallet address. The consumer can generate a passive income. The keyboard system can replace cookies as a method of obtaining 1st party data for advertisers.

Abstract: Aspects of a method for implementing a customer relationship management (CRM) and point of sale (POS) system on a node-to-node network for patron experience are disclosed including capturing transaction data or generating transaction data from one or more POS devices of a plurality of POS devices establishing a node-to-node network for processing payment on a commercial transaction are provided. Aspects of the method also include aggregating a data set associated with the commercial transaction. Moreover, aspects of the method also include reconciling the aggregated data set with a distributed ledger operating on the node-to-node network. Aspects of a CRM and POS system for patron experience are also provided, wherein the system comprises a remote payment device associated with information for making payment on a commercial transaction; and a plurality of POS devices establishing a node-to-node network for processing payment on the commercial transaction.

Abstract: A system and method for processing promotions in connection with digital purchasing. Data associated with a digital purchase request made by a consumer (the data comprising a token, an amount associated with the transaction, a promotional code for each item included in the digital purchase request associated with a promotion, a default transaction amount, and a single default promotional code) is received from a merchant server. The single default promotional code is assigned to all items included in the digital purchase request that are associated with promotions. Using the token, account information associated with the consumer is retrieved from a database. For each promotional code received, promotional information is retrieved. The retrieved promotional information is displayed. The digital purchase request is submitted for processing using the single default promotional code.

Abstract: The present disclosure relates to systems and methods for automatic attribution modeling and measurement. In aspects, a system may receive identification information associated with profiles and electronic devices that were exposed to a certain piece of targeted content. The demographic and device data associated with the individuals who were exposed to the targeted content are used to create a control group of individuals who were not exposed to that targeted content. The real-world visit rates of the exposed group and the control group to one or more locations may be monitored over a period of time (or campaign) and evaluated to assess the effectiveness of the targeted content.

Abstract: Systems and methods for using models to optimize suggestions for long-term and short-term goals are disclosed. In one aspect, a method may include receiving input data associated with promotion of a product to one or more target entities, and defining a plurality of temporal goals for attainment based at least in part on the input data. The plurality of temporal goals may be classified into at least two categories of different timescales. The method may further include providing the plurality of temporal goals and a set of constraints to an optimization model comprising an objective function, and using the optimization model to generate a set of multi-dimensional actions with predicted action values for at least a subset of the plurality of channels. The predicted action values can collectively maximize an impact value of the objective function while balancing a feasibility of the plurality of temporal goals with respect to one another.

Abstract: This disclosure provides systems, methods, services, and platforms for prompting a user to respond to an offer on a mobile device. The disclosure enables Mobile Network Operators to create campaigns to target customers who are nearing the limit of their data plans, voice plans, SMS plans, and MMS plans. In some embodiments, the cloud server interacts with a client application to prompt the use of a mobile device to respond to an offer send in a campaign. The disclosure also provides embodiments to check to see if the user has opted out of receiving offers, or if a device can not execute a command, or if a threshold number of offers has already been sent. This disclosure also provides embodiments for authenticating third party account log-in.

Abstract: A personalized offer and information system that may be integrated with retailers' websites so as to provide users of the websites with personalized offers and contextual information, such as product recommendations. Retailers may define offers and conditions to be met for the offers to become available to users. The personalized offer and information system may detect interactions of a user with a retailer website and use such interactions to update a user profile. The user profile and the conditions of the offers may be used to generate personalized offers and information for the user. The personalized offer and information system may provide a widget that visually indicates to users that personalized offers are available and a panel in which the personalized offers are displayed. Users may select the widget to have the panel become visible. The widget may persist the personalized offers and information for the user across user sessions.

Abstract: Methods and systems for optimizing campaign delivery of messages, such as offers or incentives, are provided. A set of statistical and learning models identify similar campaigns, and generate recommendations for the current campaign based on past performance as measured by engagement with and performance of identified previous campaigns. An optimization tool may be used in conjunction with an offer distribution platform that identifies individual user groups, and develops recommended offers to be included within the campaign for use with specific users or user groups to achieve optimized results within provided campaign objectives.

Abstract: The purpose of the present disclosure is to enable more accurate measurement of the advertising effectiveness. Provided is an information processing device having: a first receiver that receives first identification information for identifying a container used by a user, from a display device that displays an advertisement about a product; a second receiver that receives, from a terminal, second identification information for identifying a container used by a user who purchased a product and product information about the product; and a determination section that determines that the user who used the container purchased the product after viewing the advertisement, when the first identification information received from the display device matches the second identification information received from the terminal and further the product information received from the terminal corresponds to the advertisement displayed on the display device.

Abstract: For each retailer location associated with multiple retailers, an online system associated with the retailers receives video data captured within the retailer location by a camera of a client device associated with an online system user. The online system detects, based at least in part on the video data, a location associated with the user within the retailer location and/or an interaction by the user with an item included among an inventory of the retailer location. The online system generates a set of signals associated with the user based at least in part on the detection of the location and/or the interaction. Based at least in part on the set of signals, the online system determines a set of preferences associated with the user, trains a machine learning model to predict a metric associated with the user, and/or sends content for display to a client device associated with the user.

Abstract: Application developers can request to have their applications registered for use with a content delivery platform. The operator of the content delivery platform establishes perimeters defining geographic areas, and maintains records reserving particular areas for delivery of content associated with particular sponsors. Registered applications running on mobile devices can request content from the content delivery platform. Based at least in part on the request, the content delivery platform can identify a target location, which may be the location of the mobile device, or some other location indicated in the request. A mobile device can be provided content based on the relationship of the target location to the geographic areas, so that a registered application running on a mobile device with a target location contained within a geographic area assigned to a particular sponsor will receive content related to that sponsor.

Abstract: A system, method and apparatus for detecting the presence of a portable computing device (a smart phone device) in an area of proximity to a vendor to determine relevant pertinent information. A beacon device at a retail location establishes communication with a user's smart phone device which detection is then send to a remotely located server. The remotely located server determines if the detected portable computing device is associated with a predefined category of user. Contingent upon the category of user determination, a determination is made regarding information pertinent to the user. The pertinent information is then caused to be sent to the user's smart phone device.

Abstract: Systems and methods are provided for electronic real time advertisement message emission electronically emitted by one or more mobile vehicle coupled electronic advertisement message emitters according to reception of at least one order for at least one advertisement message emission based on real time electronically receiving availability and location status data along with advertisement message emission orders, real time determining advertisement messages to be emitted, real time determining electronic advertisement message emitters, and real time electronically transmitting advertisement messages to destination mobile vehicles to be emitted by the determined electronic advertisement message emitter coupled with the destination mobile vehicles.

Abstract: An information processing device includes a detection unit configured to detect an object that has entered a target area from a captured image of a charging station, an estimation unit configured to estimate attributes according to the detected object, a calculation unit configured to allocate contents according to the attributes to at least one period among an intermediate period that is a part of a vehicle stop period in which a vehicle stops in the target area for replenishment of an energy source, a first period including a period from at least a replenishment start time Ts2, which is a time between a start time Ts1 of the vehicle stop period and a first time T1, to the first time T1, between the start time Ts1 and the first time T1, that is a start time of the intermediate period, and a second period that includes at least a period from a second time T2, which is an end time of the intermediate period, to an end time Tel of the vehicle stop period, and an image processing unit configured to cause the all

Abstract: A pet is identified by capturing or receiving an image containing the pet, isolating the pet in the image, and identifying the pet. The identification may include comparison of various pet characteristics to a database of characteristics associated with known pets. The characteristics may be type of animal characteristics, breed characteristics, and specific pet characteristics and/or the pet's name. Pets and their characteristics may be may be added to a database and used for risk assessment.

Abstract: The subject personalized consumer advertising/ad placement system provides the ability for advertisers, ad agencies, and any other applicable organization to determine and electronically present their “ideal” consumer profile and have their advertisement/promotion placed in front of all consumers who match the profile based on the anonymous mining of the consumers actual spending across a broad base of spending categories.

Abstract: A used car transaction brokering system and a method thereof, enable presenting the best transaction to both a seller and a buyer. Upon receiving disapproval of a purchase price and a request to receive estimate prices to be compared with each other from a seller terminal, the transaction brokering system and method transmit characteristics information and an appearance image of a used car to a plurality of buying company terminals located within a preset distance from a position of the used car. The transaction brokering system and method transmit the estimated prices respectively received from the plurality of buying company terminals to the seller terminal.

Abstract: A computer-implemented method for providing feedback on driving behavior of a driver based upon driving behavior data associated with the driver may include, by one or more processors, (i) receiving driving behavior data associated with the driver; (ii) inputting the driving behavior data associated with the driver into a generative AI model to generate feedback about the driving behavior of a driver, wherein the generative AI model is trained using historical driving behavior to identify behavioral patterns in driving and configured to (a) correlate driving behavioral patterns with suggestions to improve driving, (b) analyze input driving behavior data associated with the driver to determine suggestions to improve the driving behavior of the driver, and (c) generate feedback regarding the driving behavior associated with the driver; and (iii) presenting, by the one or more processors, the feedback to the driver.

Abstract: A data processing system for machine-learning driven data analysis and reminders implements obtaining an electronic copy of demographic information and an electronic copy of insurance and benefits information associated with a user; providing the demographic information and the insurance and benefits information to a first machine learning model; analyzing the demographic information and the insurance and benefits information with the first machine learning model to output a first benefits utilization prediction that the one or more benefits are available to the user; providing the first benefits utilization prediction as an input to a recommendation engine; generating, using the recommendation engine, a benefits usage summary recommendation report that presents the information regarding the one or more benefits available to the user based on the first benefits utilization prediction; and causing a user interface of a display of a computing device to present the benefits usage summary recommendation report.

Abstract: A communicator acquires dwelling space information regarding an asset that a leaving scheduled person living in a residence introduces into the residence and leaves in the residence when the leaving scheduled person leaves the residence. A processor derives a value of the asset based on the dwelling space information acquired in the communicator, and determines a usage fee to be paid to the leaving scheduled person by a resident scheduled person moving into the residence after the leaving scheduled person, based on the value of the asset. The communicator outputs the usage fee.

Abstract: Embodiments described herein provide a security model and interface for wearable device digital purchases that can be made without the assistance of a companion device. The satellite device can be configured to be used as a primary device, without reliance upon a paired device. A provisioning process may be implemented to generate and validate one or more tokens to authenticate the wearable device and a set of cryptographic keys can be generated. Subsequently, the token(s) and cryptographic keys may be used to enable a user of the wearable device to make purchases from a digital shopping store without support from an associated companion electronic device.

Abstract: A method for providing information based on e-commerce according to an embodiment is performed on a computing device including one or more processors and a memory that stores one or more programs executed by the one or more processors, and includes collecting product sales information of each seller registered on a platform, collecting purchase activity information of a purchaser who accesses an online shopping mall of each seller, generating a product sales-related report for each supplier supplying a product to the platform based on the product sales information and the purchase activity information, providing the product sales-related report to a corresponding supplier terminal, and providing additional information for improving a profit rate to one or more of the supplier and the seller based on the product sales-related report.

Abstract: The invention is a non-fiat-based system for bartering. More particularly, the system provides & number of ways to trade goods and services across a digital platform without the need or use of money and when necessary valuates the goods and services to provide exact to approximate exchanges in value. More particularly, a barter ranking engine for non-fiat based transactions is provided that takes the guess work out of each bartering transaction created by the invention.

Abstract: A computer-implemented method may include, by one or more processors and/or associated transceivers: (1) detecting a signal that a buyer would like to purchase a vehicle, wherein the signal indicates a vehicle type of the vehicle; and/or (2) inputting the vehicle type into a generative artificial intelligence (AI) model. The generative AI model is trained on transactional data associated with vehicle purchases to learn a relationship between vehicle purchase terms and buyer characteristics, and is configured to: (i) identify one or more sellers of the vehicle type; (ii) establish a communication coupling with the one or more sellers of the vehicle type; (iii) automatically negotiate, with the one or more sellers, one or more terms for purchasing available vehicles of the vehicle type; and/or (iv) present the terms to the buyer to facilitate purchase of a particular vehicle of the available vehicles from a particular seller.

Abstract: A method for use in a computing system, comprising: receiving a first input identifying a current product configuration, the current product configuration being specified by a user; generating a signature for the current product configuration; executing, based on the signature, a first machine learning model to obtain one or more past product configurations that have been offered to one or more customers by one or more colleagues of the user; and outputting an indication of the one or more past product configurations.

Abstract: A photo product design customization system for customizing a photo product design with minimal and intuitive user inputs includes a product design module that displays a photo product design in a main design panel, a user input detection unit that can detect a first directional movement from a first dynamic object in a product type selection panel to the main design panel, or a second directional movement from a second dynamic object in a product style selection panel to the main design panel, or a third directional movement from a third dynamic object in a product style selection panel to the main design panel, and an intelligent product design creation engine that can automatically change the photo product design in the main design panel in response to detection of the first, the second, or the third directional movement.

Abstract: In one aspect, a method for broadcasting to secure accommodations in a marketplace, the method includes selecting a physical accommodation to provide a plurality of inputs including accommodation information, inputting the plurality of inputs into a user interface of a client device of host user, selecting a plurality of dates desired for occupancy of the physical accommodation, generating a broadcast request, including the physical accommodation and the accommodation information, and receiving a broadcast response from a pre-registered occupant user on the specific platform being used based on a plurality of accommodation preferences of the occupant user, the broadcast response including a selection of the accommodation by the occupant user via a user equipment.

Abstract: An online system uses a machine learning based language model, for example, a large language model (LLM) to identify replacement items for an item that may not be available at a store. The online system receives a request for an item and determines that the requested item is not available. The online system identifies a replacement item. If the online system determines that the replacement item has a replacement score below a threshold value indicating a low quality of replacement for the requested item, it uses a machine learning based language model, for example, a large language model to generate an explanation for why the replacement item has a replacement score below the threshold value. The online system sends the explanation to a client device.

Abstract: A computer-implemented method for providing vehicle suggestions to a buyer, the method including, by one or more processors (i) detecting a signal that the buyer is interested in purchasing a vehicle; (ii) obtaining driver data associated with a driver; (iii) inputting the driver data associated with the driver into a generative artificial intelligence (AI) model to generate vehicle suggestions for the driver, wherein the generative AI model is trained on vehicle data to identify vehicle traits and is configured to (a) associate vehicle traits with different vehicles, (b) associate driver data with vehicle traits, (c) analyze data associated with the driver to identify vehicle traits associated with a driver, (d) determine, based upon the desired vehicle traits associated with the driver, vehicle suggestions, and/or (e) generate an output including vehicle suggestions for the driver; and/or (iv) presenting the vehicle suggestions to the buyer.

Abstract: A computer implemented method and system for dynamically recommending footwear size includes receiving a plurality of images of a foot of a user during a current scan of the user foot, analysing the plurality of images to generate a 3D foot profile of the user, determining a foot size of the user based on the 3D foot profile, predicting a foot growth pattern of the user based on the 3D foot profile, and a user profile, recommending one or more footwear size for the user based on the foot size, the predicted foot growth pattern, one or more footwear brands and models, and predicting a time of next scan of the foot based on the recommended footwear size and the predicted foot growth pattern.