745results about "Discounts/incentives" patented technology

A system and method for enabling real-time dispatch of flexibility resources to unlock grid capacity through AI-based orchestration. The invention addresses the challenge of connecting high energy demand users, such as data centers, to constrained electricity grids without requiring infrastructure upgrades. The system establishes a marketplace where flexible asset holders set temporal compensation prices and boundary conditions, enabling true market-based participation. An AI orchestration engine analyzes real-time grid conditions and modifies flexible asset behavior to create inverse consumption profiles that counterbalance new demand loads. The platform integrates hardware and software solutions for remote control and APIs for autonomous systems like electric vehicles. Aggregators and off-takers can establish long-term contracts for flexible capacity at agreed prices. The AI system ensures flexible assets meet user-defined boundary conditions while simultaneously masking high energy demand, making new loads invisible to the grid and enabling immediate connection of data centers essential for industrial deployment.

System, process, and method for gamifying physical assets, digital assets, and virtual assets through advertising and e-commerce, and system and method for personalized digital twin LLM chatbot gamification in e-commerce and emotional intelligence development. The first aspect of the invention is a system and process for creating and training a personalized digital twin LLM chatbot assistant. The digital twin is personalized for a given human user using training data regarding the human user. A second aspect of the invention is a system and process of creating and playing an e-commerce game, including the mechanics of the game. The e-commerce game may be created and / or played by employing personalized digital twin LLM chatbot assistant such as that described in the first aspect of this invention. State of the art technologies such as sensors, IoT devices, wearable devices, and VR / XR / AR can be integrated into the game.

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.

The invention provides an integral shopping mall order rolling processing optimization method and system based on big data, and the method comprises the steps: employing a dynamic priority adjustment mechanism for a conflict order list, and adjusting the order processing priority based on the user behavior track data, including historical exchange preference, and obtaining a resource distribution scheme; integrating the order sequence through a queue reordering mechanism, reordering based on the resource allocation scheme to obtain a final processing sequence, preferentially executing the high-priority request, and maintaining the queue stability at the same time; if residual conflicts exist in the final processing sequence, supplementary resources are extracted from a preset standby inventory through a standby resource set scheduling mechanism, a complete execution plan is obtained, and the plan covers all order processing paths; and on the basis of the complete execution plan, monitoring the order processing progress, and obtaining a stable operation order flow through progress tracking and anomaly detection, real-time state feedback and iterative adjustment.

An example operation includes one or more of storing preferences of an occupant of a vehicle within a database, receiving data from signage that is within a field of view of the occupant as the vehicle is travelling along a route that includes the signage, generating a message directed to the occupant of the vehicle based on the preferences of the occupant and the data from the signage, where the message includes an action to be performed by the occupant within a period of time, and displaying the message on a display device within the vehicle which is associated with the occupant.

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver- the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

A method of managing digital assets is provided. The method includes receiving an input identifying a first digital wallet. One or more non-fungible tokens associated with the first digital wallet are identified. From the one or more non-fungible tokens, sustainability tokens are selected, each of the sustainability tokens being associated with a corresponding sustainability digital asset. For each of the sustainability tokens, a uniform resource indicator for the corresponding sustainability digital asset is retrieved from a distributed blockchain ledger and based on the uniform resource indicator, attributes of the corresponding sustainability digital asset are retrieved. A composite sustainability score is generated based on the attributes of the sustainability digital assets associated with the sustainability tokens, which is compared to a first benefit criteria and when the composite sustainability score meets the benefit criteria, a first benefit is provided to an owner of the first digital wallet.

The invention discloses a smart marketing system and device and a medium, and belongs to the field of big data analysis. The system comprises a data support layer used for collecting multi-source heterogeneous data including equipment data, user behavior data and third-party data, and forming data assets by preprocessing the multi-source heterogeneous data; the intelligent decision-making layer is used for identifying the life cycle stage of the current user based on an intelligent model matrix and the data assets, predicting the transition stage of the life cycle of the user and generating a precision marketing strategy and a channel selection scheme of each stage; and the business application layer is used for converting the precision marketing strategy and the channel selection scheme into a specific marketing task, monitoring marketing effect data and feeding back the marketing effect data to the data support layer and the intelligent decision-making layer. According to the system, the intelligent marketing process of full-link data fusion, dynamic life cycle management and automatic marketing closed loop can be realized.

A flight ticket management server (Server) includes flight ticket records (Records) each associated with a seat on an airline flight. Each Record includes permanent flight ticket swap offer details from a seller of a previously purchased and unused flight ticket. The Server sends Query Messages to seller's computer devices. Each computer device sends an Automatic Response, without human intervention and independent of a user of the computer device, indicating any seller requested changes to local flight ticket swap offer details stored in a local repository in the computer device. The Server generates a web page. The web page displays a) permanent flight ticket swap offer details from the Record, and b) local flight ticket swap offer details from the local repository, and a button that when selected via a browser in the computer device confirms seller's manual selection of a) or b) for current permanent flight ticket swap offer details.

The invention discloses a commission tracking and accurate settlement system of a private domain ecological multi-level recommendation network, and relates to the technical field of application software development, and the system comprises a multi-level recommendation network construction module which supports 1-5 levels of recommendation relationships, is bound through invitation codes and the like, activates authority through identity authentication, and stores the relationships through a MySQL cluster; the recommendation behavior full-link tracking module is used for distributing a unique UUID to track full-process data and monitoring abnormal behaviors; the dynamic commission rule configuration module supports fixed or proportional commission and realizes differentiated configuration by using a rule engine; a commission accurate settlement module; the visual income display and detail query module is used for displaying data and supporting screening and exporting; and the system interaction and log management module is used for pushing notifications and recording operation logs. According to the invention, accurate commission tracking and reasonable distribution are realized, the system stability and the operation efficiency are improved, the cost and the risk are reduced, and a private domain multi-level recommendation scene is adapted.

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.

A targeted event monitoring and alert service may be implemented by a computing system. The system can provide a live dashboard on a graphical user interface for a respective user. The live dashboard can provide (i) real-time, localized contextual information of an event for a location corresponding to the respective user, and (ii) a set of real-time risks to the property of the respective user. The computing system executes an engagement monitor comprising a machine learning computer model to (i) monitor the respective user's interactions with the live dashboard, and (ii) dynamically adapt content flows of the live dashboard based on learned response information corresponding to the respective user's interactions with the targeted event monitoring and alert service.

Techniques described herein are directed to generating group data objects and monitoring inputs associated with the group data objects to determine if attribute thresholds are satisfied. When satisfied, functionality may be enabled for the users associated with the group data objects. Additionally, when change to the group data object are detected, user interfaces associated with the group data object may be updated to provide real-time indications of information and functionality associated with the group data object.

There is provided a wireless end-user device that includes a wireless wide area network (WWAN) modem to communicate Internet data with a WWAN, and one or more processors configured to pass, using an operating system packet network stack, Internet data packet traffic, including Internet data, between the WWAN modem and one or more applications being executed by the one or more processors, classify, using the application identification agent, each of individual flows of the Internet data packet traffic passing through the operating system packet network stack according to the one or more applications associated with each of the individual flows, measure, using a service measurement agent, for each of the classified individual flows, an amount of the Internet data packet traffic associated with each of the one or more applications, and apply, using a policy control agent, application-specific traffic policy controls to each of the classified individual flows.

A method and system for monetizing tokenized property that enables users to validate their property and then tokenized their validated property. The tokenized property can then be monetized via a monetization process and tracked using blockchain.

The invention discloses a cross-border e-commerce product recommendation matching system based on artificial intelligence, particularly relates to the technical field of international trade, and comprises a user behavior preference analysis module which is used for deeply knowing interests and demands of a user by analyzing behavior data and emotion feedback of the user so as to realize personalized recommendation. The user portrait is accurately constructed by analyzing the behavior data, emotion feedback and historical purchase records of the user, personalized product recommendation is realized by using deep learning and reinforcement learning technologies, and the system combines logistics, price, culture and payment preferences of the region where the user is located, so that the user experience is improved. The optimal cross-border logistics scheme, price optimization and localization payment mode are intelligently matched, it is ensured that products can be smoothly delivered and meet the requirements of local users, through real-time monitoring and user feedback collection, the system continuously optimizes the recommendation algorithm and improves the performance, the recommendation accuracy and stable operation of the system are ensured, and the user experience is improved. Therefore, the conversion rate and the user satisfaction degree are improved.

Particular embodiments provide, by a payment service that processes financial transactions, a payment application to a user device associated with a user. The payment service system receives a request via the payment application to create an account for the user. The payment service initializes an onboarding flow to create the account. The payment service receives, in association with the onboarding flow, a request for a physical payment instrument for association with the account. A customization user interface for receiving user input to generate a customized design to associate with the physical payment instrument is provided. A plurality of user interfaces of the payment application are caused to be presented by the payment service, wherein the plurality of user interfaces are customized based at least in part on the customized design.

A system and method for generating and delivering personalized promotional offers in real time in response to user voice input. The system processes natural language queries and analyzes prior purchase history, inferred preferences, historical interactions, environmental context including device type, location, and time, and ongoing behavioral signals. Machine learning models adapt future offers based on accumulated user data to provide evolving personalization. The system supports multilingual speech recognition and can operate across smartphones, voice assistants, wearables, smart televisions, extended reality environments, and large language models. Offers may be delivered through audio, visual, or haptic interfaces to enable integration into commerce and advertising platforms. The combination of speech-triggered interaction, adaptive personalization, and contextual awareness enables dynamic, AI-driven promotional flows that operate consistently across multiple platforms and languages.

A consumable component consuming device includes a mounting unit that allows a consumable component to be detachably mounted, a display unit, and a control unit. The control unit controls the display unit to display pre-enrollment reward information. This information indicates rewards that can be granted based on consumable components collected before the user enrolls in a reward granting service. The service grants rewards in accordance with collection of the consumable component for recycling. This configuration helps encourage user enrollment by showing the value of past recycling activities.

In embodiments, a method for configuring an intelligent agent to do a task based on spatial-temporal magnetic imaging data of the brain of a worker is disclosed. The method includes generating a brain region parameter indicating an active neocortex region associated with visual processing during performance of the task based on the spatial-temporal magnetic imaging data. The method further includes selecting a convolutional neural network (CNN) component type in response to a match between the brain region parameter and an associated CNN component type. The method includes configuring the intelligent agent based on the selected CNN component and a neocortical processing flow parameter derived using the spatial-temporal magnetic imaging data, wherein the intelligent agent is configured to process image data using the CNN component and provide an output of the CNN to another AI component via a data connection created based on the neocortical processing flow parameter.

QR codes or the like are used in hardlink applications, by which different users may receive different information in response to a user's interaction with a touchpoint. The content delivered to a particular user in response to a hardlink code or a presented hyperlink may be dependent on the time of the scan, the geographic location of the user, a weather condition at the geographical location, personal information associated with the user, a number of previous scans of the code by prior individuals, and any combination of the these or other variables, which may be determined by an originator of the QR code or other party. User devices may be re-directed to alternate content or network addresses based on one or more programmed conditions.

Systems and methods for notifying a user of a vehicle include at least one processor and a vehicle tire sensor of a vehicle associated with at least one tire. The vehicle tire sensor generates at least one vehicle tire metric associated with the at least one tire of the vehicle. Machine readable instructions stored in a memory cause the vehicle notification system to perform at least the following when executed by the processor: receive the at least one vehicle tire metric from the vehicle tire sensor associated with the at least one tire of the vehicle, receive a weather tire type of the at least one tire of the vehicle, generate, based on the on the at least one vehicle tire metric and the weather tire type, at least one determined metric, and generate an alert for a user of the vehicle of the at least one determined metric.

The present disclosure provides systems and methods for predictive analytics. For example, a system provided herein includes a data retriever implemented on a first unit configured to communicate over a data network with a second unit, a database coupled to the first unit and configured to store deal data, and a forecast toolkit implemented on a second unit configured to communicate over the data network with a remote computing device. The forecast toolkit may include a future deal manager configured to identify, within enhanced deal information, future open deals; a machine learning engine; a forecast manager configured to union the future open deals with an initial forecast to produce a second initial forecast, the initial forecast constructed by applying the machine learning engine to historical deal information; and a table builder configured to construct a predicted revenue output based on the second initial forecast.

The invention discloses a source-load two-way interactive transaction method and system based on electricity-carbon real-time coupling, and belongs to the field of data processing and energy management. The method comprises the steps of real-time carbon flow accounting and account management, source-load matching, electricity-carbon coupling bargaining, dynamic contract generation, performance accounting and real-time settlement adjustment. The method comprises the following steps: firstly, acquiring real-time marginal carbon emission factors and electric energy metering data, and calculating and updating real-time carbon flow values and accounts of participants; and constructing an electricity-carbon coupling bargaining model for the source-load transaction pair, negotiating to generate an electricity-carbon coupling transaction price, and generating a dynamic contract comprising a price-response function and a carbon flow-penalty reward function according to the electricity-carbon coupling transaction price. And after the contract is executed, settlement is carried out according to the actual carbon flow deviation. According to the method, a dual Nash bargaining mechanism and a dynamic interoperation contract are adopted, real-time carbon flow contribution is taken as core excitation, multi-subject interest conflict and transaction uncertainty can be effectively solved, and low carbon, efficiency and performance robustness of source-load interactive transaction are remarkably improved.

A computing system can facilitate a set of interactive sessions in which respective users engage with interactive mitigation content prior to a catastrophic event. The system initiates a live engagement monitor implementing machine learning during each session to receive engagement data from the computing devices of each of the users, and dynamically adapts the interactive mitigation content to induce or increase user engagement by the users with the interactive mitigation content and encourage each of the users perform a customized set of tasks prior to the catastrophic event. Based in part on feedback data corresponding to these customized tasks, the system generates an exposure risk set for a common policy provider of the set of users.

The present invention can improve convenience for customers. The store control device is a control device for controlling a store display device installed on a seat, and includes a display unit for displaying an order screen used when a customer seated on the seat orders a product on the store display device. The order screen includes a movement display region that sequentially displays each of a plurality of images including an image of a product to be ordered so as to move in a predetermined direction along a track. The store control device further includes a designation reception means that receives, from among the products to be ordered, the products to be privileged and the setting of the remaining number of the products to be privileged. When the designation reception unit receives the setting of the remaining number of the product to be bid and the specific product, the display unit displays an image informing the product to be bid and an image indicating the remaining number of the product to be bid as a part of a plurality of images in a mobile display area in the order screen.

The present invention relates to an augmented reality docent system for an exhibition and a method thereof. The augmented reality docent system according to the present invention recognizes work identification information corresponding to each of exhibited works using a visitor terminal, and processes augmented reality-based description information, voice information, and image information, included in the work identification information, so as to express same. According to the present invention, the visitor terminal recognizes the work identification information of the exhibited works on the basis of the web to view and experience the exhibited works, and performs an interaction function and a mission during viewing to provide AR docent information to the visitor, and thus the exhibited works can be easily accessed without a large barrier to entry, and the sense of immersion in the exhibition can be increased.