2002results about "Discounts/incentives" patented technology

Systems and methods for controlling rights related to digital knowledge are disclosed. A sample system may include an input system to receive digital knowledge from a user, a tokenization system to tokenize the digital knowledge and a ledger management system to create, manage, and store things on a distributed ledger and provide provable access to the digital knowledge. A smart contract system may create a smart contract including triggering action is and respond with a defined smart contract action on an occurrence of the triggering event. The smart contract system may also process commitments to the smart contract.

An Automated AI-Driven Lifestyle Orchestration System proactively manages a user's daily life by intelligently populating calendars with relevant, time-sensitive marketing objects. This is achieved through sophisticated AI-driven analysis of user directives, preferences, and real-time location data obtained via computing devices like smartphones. The system leverages advanced media identification modules employing fingerprinting and watermarking to accurately match user-captured media (via a Percipient Sample Pack (PSP)) to specific content and associated products. It facilitates dynamic commerce through hierarchical linked lists for purchasing authentic or similar items, supported by an affiliate program. This inventive solution significantly improves personal organization and digital commerce by transforming passive interaction into a proactive, intelligent, and monetizable user experience.

The invention belongs to the technical field of energy storage resource regulation and control, and particularly relates to a distributed energy storage network resource regulation and control decision-making method, which comprises the following steps of: collecting and processing multi-level data; a two-way interaction mechanism with a user side is established, the electricity demand and the energy storage intention of the user are collected, and a demand response signal is sent to the user to encourage the user to adjust the electricity consumption behavior when the electricity is insufficient or the electricity price fluctuates; and based on the multilevel data and the user demand response result, constructing a dynamic energy routing model of the distributed energy storage network, and predicting future energy demand and supply conditions. According to the method, multi-level data can be comprehensively utilized, the accuracy of energy demand prediction is improved, the flexibility and the intelligent level of a regulation and control strategy are enhanced, a global optimization method is adopted for resource regulation and control, and the robustness and the reliability of the system are improved.

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.

The present disclosure relates generally to a gaming system, device, and method supportive of rewarding responsible gaming behaviors. An illustrative method includes presenting a representation of the electronic game on a display device, where the representation of the electronic game includes displaying a plurality of game features, executing the electronic game, determining, during execution of the electronic game, that a player of the electronic game has taken an action that corresponds to a responsible gaming action, correlating the responsible gaming action to a reward for the player, and presenting information to the player that describes the reward for the player along with instructions for redeeming the reward.

A digital commerce networked (e.g., Protocols: TCP / IP, BECKN, . . . ) marketplace for buyer-consumer-Players and seller-merchant-players, particularly micro-small-medium enterprises, coordinated by interconnected regional-provider-auctioneers.Each seller-merchant-player in said marketplace has product-service-activity-attraction offerings, which are analytic-algorithm searched, by each buyer-consumer-players, on said network to select product-service-activity-attraction, based on each buyer-consumer-player's needs-wants and placed in said buyer-consumer-player's shopping bag of icons.Each buyer-consumer-player's icon game dashboard enables earning a discount coupon prize, thereby reducing the published list-price. Prior performance (sales, coupons, . . . ) dashboards, enable each seller-merchant-player to periodically wager on time-of-day slots, to place iconized multi-media up-cross sell advertisements of product-service-activity-attraction, bidding against other seller-merchant-players, who have related product-service-activity-attraction recommendations, which said buyer-consumer-player's analytic search could have discovered.Each regional-provider-auctioneer's dashboard enables coordination of: (1) buyer-consumer-player's conversion-to-purchase, including a “discount coupon” transaction and (2) accounting of (a) seller-merchant-player's product-service-activity-attraction inventory and bag of advertisements and (b) buyer-consumer-player's need-wants icon shopping bag(s) and earned prize coupon bag(s).

An AI-powered augmented reality (AR) system for optimizing product placement and customer loyalty. The system includes: • a user interaction data collection unit configured to monitor consumer behavior in real time in any retail scenario (point-of-sale POS, online e-commerce and shopping areas within a public virtual technology space), with the unit analyzing consumer movement patterns, engagement metrics, eye-tracking and purchase intent; • an intelligent spatial mapping module to build a contextual understanding of high-traffic zones, underutilized areas and high-quality product placements using heatmap analysis, other spatial computer algorithms and the live movement of consumers; • A model-based product placement recommender based on machine learning, which uses one or more DL-based predictive models trained by importing current sales data, historical text interaction data, and consumer preference data to suggest optimal product placement so that customers see the advertisement and are likely to click through it to ensure a conversion. • a customer-centric, real-time AR visualization interface configured to allow customers to experience digitally enhanced product presentations directly via mobile AR applications, smart glasses, or in-store digital kiosks, enabling customers to preview product placements, rotate and resize objects, and visualize interactive advertising content before purchasing; • a customized advertising and sales promotion engine configured to generate augmented reality-based marketing content and provide users with tailored promotions and interactive ads based at least in part on an analysis of consumer sentiment by the system, as well as information on location data or consumer interaction history, wherein the customized advertising and sales promotion engine personalizes the configuration instructions for advertising and sales promotion to encourage consumer interaction and achieve higher sales revenues; • A secure, cloud-based data processing and analytics unit that uses an automated engagement model to link online and in-store sales information with established activity models for product placement decisions. The unit leverages AI-powered consumer insights to continuously recommend product placement changes based on a variety of programmatic retail trends; • a privacy-friendly AI module based on federated learning and on-device AI processing, providing consumer behavior analytics while complying with global data protection regulations and preventing the use of open data; • a processing framework characterized by a low-power mode suitable for AR rendering and AI calculations, and implemented via dynamic voltage scaling and energy management techniques for seamless and sustainable operation; The system according to claim 1, wherein the user interaction data capture unit further comprises an eye-tracking and sentiment analysis sub-module, wherein the sub-module detects facial expressions, emotional reactions, and attention levels of consumers in real time to determine the effectiveness of product placements and advertising strategies.

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.

A networked computer system for enabling players of a gaming device to collect a series of Non-Fungible Tokens (NFTs). Computational power of the networked computer system is also leveraged to support the recordation of NFT transactions, including the acquisition of NFT transactions and the transfer of NFTs.

Provided are a system, a program in a user terminal, and a server with which it is possible to provide the position of a physical store at which it is possible to purchase a purchase-considering product. This server has: an assessment unit configured to determine whether the product ID of the purchase-considering product matches at least one of the physical store product IDs; a physical-retail-store-specifying unit; and a transmission unit for transmitting image data pertaining to the product and location information pertaining to the physical retail store to a user terminal. The user terminal has a display unit for displaying a map. The display unit displays, at a position on the map that is specified by the location information of the physical store, an image of a product based on the image data.

The present disclosure relates to a computer-implemented process for evaluating user activity, user preference, and / or user habit via one or more personal devices and providing precisely timed and situationally targeted content recommendations. It is an object of the present disclosure to provide a technological solution to the long felt need in small scale content recommendation systems caused by the technical problem of generating situationally targeted and user preference targeted content recommendations for users of an interactive electronic system.

A progressive bonus award system integrated within a mobile application is disclosed. Upon receiving data of a transaction performed by a player using the mobile application and determining that the player is participating in a progressive bonus award associated with the mobile application, a determination is made whether to issue a ticket to the player for the transaction performed by the player. The ticket includes a ticket identifier. An additional value is added to the progressive bonus award based at least in part on the transaction performed by the player to progressively increase the progressive bonus award during a promotional time period, and at the end of the promotional time period, a winning ticket identifier is randomly drawn and verified that the winning ticket identifier matches the ticket identifier of the ticket issued to the player and displayed within the mobile application along with an awarded amount to the player.

A networked computer system for enabling players of a gaming device to collect and stack Non-Fungible Tokens (NFTs). Computational power of the networked computer system is also leveraged to support the recordation of NFT transactions, including the acquisition of NFT transactions and the transfer of NFTs.

Embodiments relate to utilizing artificial intelligence (AI) technology to enable comprehensive and systematic management of coupons that can be equivalent to marketing strategies or benefits. A first analysis on a raw data stored as text, image, video, or any combination thereof in the IT device is performed with an AI tool to automatically detect one or more coupons from the raw data. The result of the first analysis is treated as the detected coupons that will be stored in a coupon database or a local memory. A second analysis on the coupon database or local memory is performed with the AI tool to extract a detailed coupon information from each of the detected coupons. The detailed coupon information corresponding to each of the detected coupons is clustered based on one or more predetermined criteria and stored as the clustered result in the coupon database or local memory.

The present invention provides a system and method for an electricity utility or retail electric provider to incentivize a retail electricity customer to increase the amount of renewable energy they consume through an innovative pricing plan and digital application by letting customers understand how much renewable energy is on the electric grid at any point in time. They receive incentives for using more renewable energy and may also compete against each other or a benchmark customer to have the greenest energy consumption.

The invention relates to the technical field of fast moving consumer goods data analysis, and discloses a marketing data analysis-based big data intelligent delivery system which comprises a demand analysis unit, a scene analysis unit, a fusion unit, a division unit and a delivery unit. The method comprises the steps of generating user demand potential energy intensity, dividing the user demand potential energy intensity into three types of circle layers, accurately identifying user groups with potential consumption demands but weak current feedback, adopting differentiated delivery decisions according to types of price sensitivity, information missing degree, decision complexity and the like for main retardation factors of different circle layers, and correcting a strategy in combination with a consumption willingness value. Decision resistance of users in each circle layer can be effectively eliminated, potential consumption potential is converted, resource mismatching is avoided, and the return rate of long-term big data delivery of home fast moving consumer goods is increased.

A user analysis method and system based on big data, a product and a medium relate to the field of commodity data processing, and the method comprises the following steps: obtaining a specific operation sequence of a current user in a current full-decreasing sales promotion scene, extracting an order-on decision behavior feature in the specific operation sequence according to a preset user behavior analysis rule, and obtaining a decision-on decision behavior feature of the order-on decision behavior feature; the order-on decision behavior feature comprises an abnormal shopping behavior; on the basis of the make-on decision behavior characteristics, calculating a make-on possibility score for each commodity purchased by the user, determining a recommendation weight of each commodity according to the make-on possibility score, and when the make-on possibility score of a target commodity exceeds a preset score threshold value, determining that the target commodity is a recommended commodity; and reducing the recommendation weight of the target commodity in the current full-reduction sales promotion scene to a preset weight. By implementing the method, the accuracy of the e-commerce platform to push commodities to the user can be improved.

A social media platform facilitates user interaction through digital environments called “bubbles,” which serve as customizable, collaborative spaces for content sharing and engagement. Users can participate in gamified events such as challenges, races, and raffles within these bubbles. The platform incorporates a blockchain-based reward system that issues digital assets, including tokens and non-fungible tokens (NFTs), based on user participation and performance. Each piece of content shared within a bubble can be assigned its own privacy level, independent of the user's account settings. The system supports role-based access, content moderation, and smart contract integration to ensure secure, transparent reward distribution.

The invention discloses a comprehensive space-time flexibility analysis method for an electric vehicle under a dynamic traffic flow, and the method comprises the steps: carrying out the flexible charging and discharging capability of the electric vehicle through the maximum potential of a price signal on the basis of a dynamic traffic distribution model, and depicting a comprehensive space-time flexible operation region of the electric vehicle; establishing a dynamic traffic distribution model considering V2G vehicle network interaction, and considering price guidance of electric vehicle V2G vehicle network interaction and charging and discharging coupons in the model; a second-order cone DistFlow optimal power flow model is established in the power distribution network, and a reasonable power distribution network power purchase and generation strategy is formulated; dual-network coupling of a power distribution network and a traffic network is realized through a charging station and a V2G station, a power distribution-traffic coupling system cost model considering vehicle-network interaction is constructed, a flexible operation domain of an electric vehicle bidirectional charging station is described through convex hull fitting, and a comprehensive space-time flexibility analysis method for an electric vehicle under dynamic traffic flow is obtained. And the flexible adjustment capability of charging and discharging of the electric vehicle under different subsidy quotas is described.

Provided herein is an AI-based energy edge platform with a wide range of features, components, and capabilities for managing and improving traditional infrastructure and coordinating with a distributed system to support important use cases for a series of enterprises. The platform may employ emerging technologies to improve the efficiency, flexibility, participation and profitability of an ecosystem and a single energy edge node. Embodiments may predict, plan, and manage energy demand and utilization in a larger distributed environment. Embodiments may use AI, IoT, and techniques to more efficiently filter, process, and move data across communication networks. Embodiments of the platform may utilize an energy market connection, communication, and transaction support platform. Embodiments may employ intelligent provisioning, data summarization, and analysis.

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.

A method including the following steps: computing availability of at least one renewable electrical energy production device that delivers electricity to at least one household associated therewith to deliver electricity to an electric grid; computing an electricity usage plan for the predetermined period of time; optimizing the electricity usage plan so that: the electricity to be delivered is to be delivered to the electric grid at one or more different time periods at least when an amount of the possible electric power generation corresponding to non-renewable electrical energy generators is greater than at other time periods within the predetermined period of time; and during a predetermined duration after the time period or periods when the electricity is delivered to the electric grid, the electricity delivered by the at least one renewable electrical energy production device for consumption by the respective household is lower than the computed availability during the predetermined duration.

The invention relates to the technical field of information, and discloses a digital right near-field real-time cancel-after-verification system based on edge computing, which comprises a space-time coding module used for generating a unique cancel-after-verification identifier according to the geographic position and time of a user, and transmitting the identifier to a dynamic weight module; a dynamic weight module which is connected with the space-time coding module, generates a right and interest distribution strategy based on a federated learning model and an optimization algorithm, and outputs the optimized strategy to a block chain fragmentation module; the block chain fragment module is connected with the dynamic weight module, dynamically divides a consensus network according to the real-time cancel-after-verification density, executes distributed verification in fragments and generates a cancel-after-verification authorization instruction; and the cancel-after-verification execution module is used for distributing cancel-after-verification tasks according to the authorization instruction and synchronously updating the multi-node inventory state. By adopting the technical scheme of gridding coordinate mapping, time window division and nonlinear hash of the space-time coding module, the technical effect that the verification identifier is unpredictable and uniquely bound is achieved.

A system of a vehicle for processing communication with connected objects is provided. The processing by the system uses a processor of the vehicle and processing and data from one or more servers of a cloud system. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure proximate to where the vehicle is located or locations proximate to where the vehicle is moving. The system includes a global positioning system of the vehicle for generating geo-location for the vehicle and a heading direction. The geo-location is shared with a server of the cloud system using a communications device of the vehicle. The server of the cloud system is configured to receive the geo-location of the vehicle to identify the heading direction of the vehicle. The communications device of the vehicle is configured receive state data from at least one of said connected objects.

To provide an information processing system, a program, and an information processing method relating to a point service which can create incentives to visit a location of a store or the like.SOLUTION: An information processing system includes: a data collection part for collecting user's behavior record data in an actual world; a first point imparting part for imparting points corresponding to the behavior record data to the user; a location information storage part for storing point exchange locations at which the user can utilize the points to acquire a privilege; and a position determination part for determining whether the user visits the point exchange location on the basis of user's position information, and giving right to acquire the privilege by using a prescribed amount of the points, to the user determined to visit the point exchange location.SELECTED DRAWING: Figure 1

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.

The invention relates to the technical field of information, and particularly discloses an online mall platform intelligent management method and system, and the method comprises the following steps: S1, constructing a data collection system, and obtaining platform operation data, user behavior data and external market data in real time; s2, acquiring historical sales data, analyzing the historical sales data by adopting a Prophet time sequence model, predicting a future sales trend and inventory requirements, and generating a dynamic replenishment suggestion; s3, optimizing inventory management through a dynamic programming algorithm, calculating an optimal inventory threshold value in combination with external market data, and performing automatic replenishment triggering; s4, establishing a user portrait according to the user behavior data, and generating a personalized coupon strategy based on a collaborative filtering algorithm; s5, dynamically matching the work order and the customer service according to a multi-attribute decision algorithm; and S6, storing quality assurance information, and ensuring non-tampering and traceability of construction time, material batches and technician ID data. Therefore, the operation efficiency and the user experience of the shopping mall platform are improved.

An RFID transponder including a Bluetooth® compatible transceiver (BLEET) is described. The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs. The BLEET may be used in a congestion pricing (CP) toll area, wherein the smart phone determines a toll rate based on the location, when triggered by the BLEET, that the BLEET was read by an RFID reader located on a boundary of the CP toll area.

Systems and methods for digital identity and account abstraction are disclosed. A method may include: creating, by an application executed by a user electronic device in an off-chain environment, a user operation for a transaction based on an intention received from a user; receiving, by an entry point contract in an on-chain environment, the user operation with a verifiable credential for the user; validating, by the entry point contract, the user operation using a validation function in a smart contract wallet; determining, by the entry point contract, that there is a paymaster to sponsor the transaction; determining, by a paymaster contract for the paymaster, that the transaction should be sponsored based on the verifiable credential for the user; executing, by the entry point contract, the transaction using an arbitrary execution function in the smart contract wallet; and invoking, by the entry point contract, a post-operation that performs post-operation logic.