2722results about "Buying/selling/leasing transactions" patented technology

A value chain network control tower system comprises a processor and memory configured to execute a know your model system that manages the complete lifecycle of Al models in enterprise environments. The know your model system performs model intake and registration actions including model documentation collection, registration procedures, metadata collection, input / output interface standardization, legal and licensing validation checks, and security validation. The system conducts comprehensive model evaluation and risk assessment actions by analyzing foundational properties, task performance, safety and risk management, alignment and compliance characteristics, operational metrics, and tooling transparency capabilities. The know your model system executes model deployment actions through automated environment validation, predeployment approval processes, and controlled production deployment with continuous monitoring.

The invention discloses an AR home experience method in a large scene. On the basis of combination of a natural feature identification-based three-dimensional registration method and a binocular tracking positioning and local mapping method, the camera attitude is estimated by using feature points of a real-time scene and corresponding three-dimensional points thereof under the binocular trackingpositioning and local map construction technology. According to the mode, on-site environment features shot in real time are used as recognition tracking objects, a virtual home model can still be normally positioned and tracked under the condition that no identification graph exists, the problems that an existing AR home experience application is small in use range and poor in stability are solved, and therefore the AR home experience of virtual and real fusion can be met in a wider range and more truly.

Techniques for facilitating connectivity to vPLCs created in a CSP-provided infrastructure in a region. Within the CSP-provided infrastructure in a region, when the destination of a packet is determined to be an endpoint associated with a particular vPLC, the packet is tagged with information related to the particular vPLC. The vPLC-related information for the particular vPLC can include, for example, a vPLC identifier identifying the particular vPLC, an identifier identifying a customer associated with the endpoint, a virtual cloud network identifier identifying a virtual cloud network (VCN) belonging to the particular vPLC and where the endpoint is part of the VCN, and other vPLC-related information. The packet is then routed or communicated within the CSP-provided infrastructure in a region along with the tagged vPLC-related information. The vPLC-related information is used as part of the connectivity and for routing of packets within the CSP-provided infrastructure in a region.

Embodiments are directed toward a blockchain system including a global state and an assemblage of blocks, each block representing a collection of state transformation records, each state transformation record describing a state transformation performed on the global state, where preceding blocks referenced by any given block contain state transformation records describing state transformations performed on the global state prior to the evaluation of the given block, and where at least one state transformation record is a zero-knowledge transformation record encoding a zero-knowledge state transformation description, which zero-knowledge transformation record comprises at least the following elements: paths identifying the locations of the elements of a discrete data subset, a revised data subset, and a transition proof implemented as a non-interactive zero-knowledge proof, which transition proof proves that the transition from the discrete data subset to the revised data subset follows the established rules of the blockchain system.

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

There is provided a real estate automatic trading device including a sell order receiving unit configured to receive a sell order for a target real estate including a selection of one of order execution rules of the target real estate from a seller terminal, an order price receiving unit configured to receive a plurality of ask prices from a plurality of sale proposal terminals for the target real estate according to the selected order execution rule, receive a plurality of bid prices from a plurality of buyer terminals, and store the plurality of ask prices and the plurality of bid prices as an order price for the target real estate, and an order execution unit configured to generate order execution information including an order execution counterparty and an order execution price for the target real estate based on the plurality of ask prices and the plurality of bid prices.

A method includes determining a fuel amount; providing navigation directions; determining a vehicle arrival; transmitting a fuel purchase request; controlling a tank cover; receiving fuel; detecting that a tank is full; and transmitting a stop fueling request. A computer system includes a processor configured to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that a tank is full; and transmit a stop fueling request. A non-transitory computer-readable medium storing thereon a set of instructions that, when executed on a processor, causes the processor to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that fuel tank is full; and transmit a stop fueling request.

A computer-implemented method is disclosed. The method includes: receiving, via a first user interface, a selection associated with an object; determining a first set of object attributes based on the selection; presenting, via a second user interface, a text prompt for a user to identify a subset of the first set of object attributes; receiving, via the second user interface, an indication of one or more preferred object attributes of the identified subset; and updating the first user interface to display content relating to objects associated with the one or more preferred object attributes.

The invention discloses a consumer automatic locking method based on automobile 4S store intelligent sales. The consumer automatic locking method comprises the steps that a 4S store controller is combined with a face camera and a face recognition and proofreading module to carry out face collection and locking on a consumer; an entrance guard worker terminal builds and supplements consumer files entering the 4S store; consumption data are supplemented and shared on a consumer terminal by a consumer; the stay area of the consumer in the 4S store is monitored by adopting an area identification module and an area monitoring camera; and the server is used for formulating consumer purchase track information. The method has the advantages that through the steps, the identity of the consumer is automatically recognized and locked, the purchase intention of the consumer is quickly known, and intelligent recommendation and automobile sales are achieved.

A metaverse-based luxury experience system and method are disclosed. The system includes a luxury 3D scanner that scans the shape of luxury items and a metaverse platform server that implements a virtual environment to display and sell 3D luxury items. The server enables a 3D user avatar to wear or experience these items using metaverse interface goggles and gloves. Additionally, users can scan themselves to create proportionate 3D avatars, ensuring accurate representation of luxury items. This allows users to virtually try on luxury items, assess fit, and make purchase decisions without physically wearing them.

A secure method for exchanging entities via a blockchain is presented. The method comprises receiving, from a user over a communications network, an invitation to perform an exchange of entities; generating a redeem script comprising metadata; hashing the redeem script to generate a redeem script hash; sending the first script and the first script hash on a distributed hash table (DHT); and generating an invitation transaction comprising an output associated with an encrypted digital asset, and a hash of a script comprising an indication of entities to be exchanged, conditions for the exchange, and a public cryptographic key associated with the user.

A machine comprising a transceiver, one or more processors, and memory performs communications operations via one or more user devices. The communications operations include establishing via the transceiver a connection with a first user device, and transmitting first information to the first user device. Upon not receiving an acknowledgement that the first information was received by a server, the machine maintains the first information in the memory and establishes, via the transceiver, a connection with a second user device, appends the first information to second information, and transmits the first and second information to the second user device. Upon receiving acknowledgement that the first and second information were received by a server, the offline retail machine deletes the first and second information.

Disclosed herein is a service provider system and method to generate a persona token for a user, store the persona token at a restricted access database, and return a persona token identifier to the user. The persona token is used to generate persona insights, that can be provided to an artificial intelligence / machine learning algorithm along with an inquiry. The algorithm may identify goods or services based on the persona insights. Also disclosed herein are system and methods to attribute a user clicking on a product link, retaining and using the product information to link item level details to purchases, and making a purchase on the linked e-commerce / merchant website such that the originating website knows that a purchase ultimately resulted from the clicked ad.

A mobile artificial intelligence (AI) device includes a camera configured to capture a video of a product, and a neural processing unit (NPU) configured to perform inference with an AI recognition model to recognize product information from the captured video on the mobile AI device. A battery supplies power to the NPU. A transceiver is configured to transmit only the recognized product information to a remote server without transmitting the captured video, and to receive additional commercial information corresponding to the recognized product information. A display is configured to present the additional commercial information.

A maintenance system for a medical device includes a user device configured to communicate with the medical device and execute maintenance tasks on the medical device and communicate with a user via a user interface of the user device or the medical device. The maintenance tasks may be executed by either device or both devices, and communication with a user may occur via a user interface of either device or both devices. The system may also include a server configured to communicate with one or both of the user device and the medical device. The maintenance tasks may include an electrical safety check, a physical check, a performance check, and a functional check. Examples of functional checks include validation of a transient current detector and a thermal cutout.

Merchants provide incentives for customer transactions on accounts issued to them by issuers. Incentives include a merchant making a donation to entities with whom the merchants and / or the consumers have an affinity such as residence in the community. Each merchant can define the donation to be percentage of the transaction amount. Cryptographically secure chains are provided for uniquely labeling each such transaction and each such donation by way of incorporating role-based digital wallets and multiple synchronized transactional blockchains. Where the donations are used to purchase an Internet-of-Things (IOT) enabled system, real and / or near-real time usage information can be received and transmitted to the logical addresses of the customers and or the merchants so as to confirm efficacy of the donations.

Techniques are described, as implemented by computing devices, to control access to transactions through use of cosigning based on tokenized reputation scores. This is performed by leveraging a blockchain such that tokenized reputation scores are generated based on amounts of cryptographic reputation tokens associated with blockchain account addresses associated with applicant and co-signer service provider accounts. Transactional functionality is made available to an applicant service provider account having an insufficient tokenized reputation score by using a co-signer service provider account having a sufficient tokenized reputation score to at least partially back an obligation of the applicant service provider for a transaction.

The invention relates to the technical field of electric power transaction data processing, and discloses an electric power spot transaction data time sequence mining method capable of representing market fluctuation characteristics, which comprises the following steps: executing variational mode decomposition on electricity price data, and locking a probability density trough by using kernel density estimation to determine a dynamic shunting threshold value; according to the method, self-adaptive boundary locking in a non-stationary environment is realized by utilizing a data topology form, invalid feature interference is blocked through mutual information causal gating, and the adaptive boundary locking in a non-stationary environment is realized by utilizing a linear extrapolation model and a multi-head attention mechanism in which a causal mask is introduced. The contradiction between mean regression and peak capture of a traditional model is solved, and the effectiveness of a prediction result is improved.

A trained model is used to generate action recommendations by predicting different metrics related to items ordered at an online system. The online system gathers replacement data related to replacement of an item either online or at a location of a retailer when a user uses a physical receptacle in communication with the online system. The online system applies a metric prediction model trained to predict, based on the replacement data, an irreplaceability score indicative of an item's irreplaceability feature and / or a brand stickiness score indicative of an item's brand stickiness feature. The online system applies an item replacement model trained to identify, based in part on the irreplaceability score and / or the brand stickiness score, a list of candidate replacement items. A device associated with the user displays a user interface with a replacement item from the list prompting the user to include the replacement item to a cart.

Techniques described herein are directed to intelligently identifying buyers for resale items based on digital records. A computing system of a payment processing service can analyze digital records of a plurality of user associated with the service. A target buyer of an item can be identified. The computing system can cause an actuation mechanism to present on a user interface of the target buyer. The computing system can identify one or more users that have previously purchased an instance of the item and cause a notification that identifies the item as a candidate for resale to present via computing devices associated with the users. The computing system can receive an indication that a user desires to sell an instance of the item. The computing system can process a transaction on behalf of the user to enable the target buyer to purchase the instance of the item.

Described embodiments relate to determining a candidate financial record associated with a transaction between a first accounting entity and a second entity, and determining, using a numerical representation generation model, a numerical representation of the candidate financial record, the numerical representation generation model having been trained on a corpus generated from historical transaction records. The method further comprises providing, to a transaction attribute prediction model, the numerical representation of the candidate financial record, the transaction attribute prediction model having been trained using a dataset of previously reconciled financial records, each associated with a respective first transaction attribute; and determining, by the transaction attribute prediction model, at least one first transaction attribute associated with the candidate financial record.

Based on orders fulfilled by shoppers of an online concierge system, the online concierge system identifies items in an order that are difficult to find in a warehouse in which the order is fulfilled. When a shopper obtains a difficult to find item from the warehouse, the online concierge system prompts the shopper to provide information for finding the difficult to find item in the warehouse. The online concierge system stores the information for finding the difficult to find item from the shopper in association with the difficult to find item and with the warehouse. Subsequently, when a different shopper is fulfilling an order from the warehouse including the difficult to find item, the online concierge system displays the information for finding the difficult to find item in the warehouse to the different shopper.

There are provided systems and methods for checkout approval through feature flag tracking and guided user data flows. An online transaction processor may provide account establishment and / or know your customer (KYC) data verification at merchant checkout through use of different account processes and feature flags for mobile applications. A user may utilize their mobile device to scan a code at the merchant checkout, which may cause loading of an interface in the mobile application and a corresponding feature flag. Based on whether the user has previously used the application and / or has an account with the transaction processor, the user may be guided to a processing flow for data input, processing, and verification. The data may include KYC data, which may be used to perform a risk assessment of the user and determine a spending limit extendable to the user.

The present invention relates to an artificial intelligence-based user-customized modular building design and BIM linkage apparatus comprising: a memory including at least one instruction; and at least one processor electrically connected to the memory and configured to perform the at least one instruction, wherein the at least one processor may: receive a user input related to generation of housing space data, wherein the user input includes natural language; apply space requirement analysis criteria to the user input to calculate a housing requirement index; determine, by means of a specification mapping model, hard specifications and soft specifications on the basis of the housing requirement index; if the housing requirement index cannot be calculated or if there exists an element, among the hard specifications, which cannot be calculated by the housing requirement index alone, analyze insufficient information to determine necessary additional requirement information; request, from a user, information necessary to obtain the additional requirement information; reflect an additional input from the user to sequentially update the housing requirement index, the hard specifications, and the soft specifications; and calculate, by means of a space generation model, housing space data on the basis of the updated hard specifications and soft specifications.

Consistent with disclosed embodiments, systems, methods, and computer readable media for conducting wireless transaction communications may be provided. Embodiments may include at least one processor configured to access a data structure containing identities of display areas and identities of products associated with the display areas; receive a request for information related to a particular display area in a vicinity of a mobile communications device; receive location information associated with a locus of the mobile communications device; perform a lookup in the data structure to identify the particular display area; retrieve product-related information associated with products in the particular display area; and transmit the product-related information to the mobile communications device.

A system includes a plurality of stocked items arranged throughout a store for picking according to one or more electronic customer orders, a computing system configured to wirelessly transmit the electronic customer orders, and a mobile scanning device including a display. The mobile scanning device is configured to wirelessly receive an electronic customer order from the computing system. The electronic customer order includes a plurality of ordered items indicating which of the stocked items are to be picked. The mobile scanning device is configured to store an image-based map that indicates locations of the stocked items in the store and arrange at least one of the plurality of ordered items on the display based on the image-based map.

The invention belongs to the field of electric power markets, and discloses a day-ahead electric energy-inertia combined market transaction method considering inertia safety, and the method comprises the steps: predicting the next-day load of a power grid through employing an improved random forest method, constructing a power balance constraint, carrying out the next-day wind and light output prediction through employing an ARIMA-LSTM method, and constructing a new energy unit output constraint; evaluating a minimum inertia demand based on a system frequency response model and establishing an inertia demand constraint; based on an Aumann-Shapley method, performing inertia support responsibility allocation according to marginal contribution inertia suppliers of various types of resources; and in combination with the above conditions, minimizing the total cost of the power generation side considering the electric energy transaction and the inertia service transaction is taken as a target function, the market model is solved, and a clearing result is determined. A power generation side unit is guided to reasonably make a next-day power generation plan through a marketization mechanism, electric energy supply is guaranteed, and related subjects are stimulated to provide inertia services.

The invention relates to a port micro-grid energy control strategy considering incomplete information, and the strategy is technically characterized in that the time-of-use electricity price of a power grid, the parameters of a micro-grid operator and the like are set, and a data source is determined; scene sampling is carried out, and uncertain information in micro-grid operation is converted into a computable deterministic scene; establishing a Bayesian-Stackelberg game model under incomplete information by taking a power transaction agent as a main body and a micro-grid operator as a slave body; a follower model constraint is established by considering port berth distribution, and a KKT condition is established for a follower model so that the double-layer game model can be converted into a single-layer optimization model; and solving the model by using a CPLEX solver to obtain an optimal electricity price and an energy control strategy of each scene. According to the method, the uncertainty of port micro-grid information is considered, port operation constraints, berth distribution strategies and the like are comprehensively considered, the economy of micro-grid operation is considered while the port logistics transportation efficiency is ensured, and a port micro-grid energy control strategy considering incomplete information is provided.

The application discloses an installation prompting method, which comprises the following steps: acquiring first module information and second module information; the first module information is information of a first functional module to be installed corresponding to a preset area of the air conditioner; the second module information is information of a second functional module currently installed in the preset area of the air conditioner; determining a recommended installation position according to the first module information and the second module information; the recommended installation position comprises positions of the first functional module and the second functional module respectively recommended for installation in the preset area; and outputting installation prompting information according to the recommended installation position. The application also discloses an air conditioner and a computer readable storage medium. The application aims to improve the accuracy of the installation position of the functional module on the air conditioner, so as to improve the effect of the air conditioner on improving indoor air quality.