69 results about "E loyalty" patented technology

A system for providing context-specific item recommendations is provided, for example in support of customer loyalty programs. In examples, a contextual offer recommendation engine utilizes a deep neural network in an epsilon-greedy agent to implement a contextual multi-arm bandit. The contextual multi-arm bandit is used to explore optimal solutions regarding correspondence between offers and customers. The optimal solutions may represent customer-offer combinations which may be published to a campaign manager for display to a customer, e.g., via a retail server. The deep neural network may be continually and adaptively retrained an extended based on observed actions between customers and new or preexisting offers.

A computer-implemented method, a computer program product, and a computer system for phygital integration in commerce-based checkout experiences. A computer aggregates data from one or more personal devices of a user and data from one or more biosensors of the user. A computer trains a machine learning model on features extracted from aggregated data. A computer uses the machine learning model to predict purchase preferences of the user and to generate for the user personalized recommendations, promotions, and loyalty rewards. A computer generates notifications about the personalized recommendations, promotions, and loyalty rewards. A computer transmits the notifications to the one or more personal devices. A computer monitors interactions of the user with the personalized recommendations, promotions, and loyalty rewards. A computer uses information of the interactions to train the machine learning model for future prediction of the purchase preferences and future generation of the personalized recommendations, promotions, and loyalty rewards.

Decentralized computer systems and methods are disclosed for establishing and conducting payment processing with loyalty points using distributed ledger. One method includes: receiving a consumer identification, an issuer identification, and transaction information from a point of sale system when the loyalty card is presented for a transaction of a good or service at a merchant, identifying the network node containing distributed ledger associated with the issuer according to received issuer identification prompting, to participants of the shared ledger, to validate whether the consumer distributed ledger has required loyalty points for the transaction; if all of the participants of the shared ledger accepts the transaction, generating, a new immutable entry to the distributed ledger for the transaction with remaining loyalty points in the loyalty card after deducting the points required for the transaction; and sending a transaction approved message to the point of sale system at the merchant.

A loyalty program management system associated with an enterprise location is provided. The loyalty program management system is programmed to: a) receive a plurality of input data associated with a plurality of patrons, wherein the plurality of input data represents actions of the plurality of patrons; b) determine a current location of a patron of the plurality of patrons, wherein the current location of the patron is not at the enterprise location; and c) transmit a message to a computer device associated with the patron including a prize to be awarded if the patron visits the enterprise location.

Various aspects disclosed herein are directed to intelligent advantage spin techniques implemented in wager-based games conducted on electronic gaming devices. The intelligent advantage spin techniques may be incorporated into wager-based slot games for offering players various types of re-spin opportunities via the use of Advantage Spin (AVS) credits, loyalty points, or game credits. During gameplay, the system provides real-time analysis of game outcomes, identifying strategic moments such as near-miss scenarios to dynamically present customized advantage spin offers to players. Players can leverage AVS credits to selectively re-spin individual reels and / or symbols. AVS credits may also be employed as promotional incentives, redeemable across different game themes or EGMs, and can persist across gaming sessions, different EGMs, different venues, etc. Integration with systems like TITO and player loyalty accounts ensures seamless credit management, allowing casinos to issue, track, and incentivize credits based on both gaming and non-gaming activities.

A system for reward generation on a social media platform is disclosed. The system includes a processing subsystem having a. registration module linking multiple social media accounts for a user. An engagement calculation module identifies key metrics like likes, comments, and shares, calculating individual metrics for each engagement type. The engagement calculation module computes a total engagement value for specific posts or overall accounts. The training module uses historical data, to train machine learning models, fine-tuning hyperparameters for iterative improvement. The reward generation module establishes a conversion rate between total engagement and reward points, dynamically assigning loyalty through trained models. A reward redemption module facilitates the accumulation of points in a virtual wallet, converting them into various assets like money or cryptocurrency using blockchain integration. This comprehensive approach ensures a fair and personalized reward system based on user engagement levels.

A system and process to generate product brand loyalty and provide incentives at the agent-to-agent level of the supply network tree is disclosed. Exemplary embodiments provide a “dynamic coupon” which is a dynamic electronic file construct that includes a changing value associated with a product / service. The dynamic coupon improves for example the effectiveness of existing cashback coupon programs. The coupon may be integrated into a digital wallet, which may be provided to user members (for example agents in the supply chain) on a loyalty network. Each owner of a digital wallet may have dynamic coupons in their wallet that are accrued based on consumer activity with products or services they are involved with. The coupon may be product specific, attached directly to the finished consumer good / service.

A system for reward generation on a social media platform is disclosed. The system includes a processing subsystem having a registration module linking multiple social media accounts for a user. An engagement calculation module identifies key metrics like likes, comments, and shares, calculating individual metrics for each engagement type. The engagement calculation module computes a total engagement value for specific posts or overall accounts. The training module uses historical data to train machine learning models, fine-tuning hyperparameters for iterative improvement. The reward generation module establishes a conversion rate between total engagement and reward points, dynamically assigning loyalty through trained models. A reward redemption module facilitates the accumulation of points in a virtual wallet, converting them into various assets like money or cryptocurrency using blockchain integration. This comprehensive approach ensures a fair and personalized reward system based on user engagement levels.

The present disclosure generally relates to the use of loyalty accounts, private label payment accounts, and general payment accounts using an electronic device with an electronic wallet. Various accounts are linked to the electronic device. In some examples, the electronic device is NFC-enabled. The electronic device may be used to provide loyalty account information and payment account information to a payment terminal, such as an NFC-enabled payment terminal.

A system for configuring a digital wallet application for implementing a casino player loyalty program includes a memory storing reward configuration data associated with digital wallet awards and a processor configured to: (a) provide an award type user interface for receiving player loyalty award types; (b) receive award type data corresponding to one or more selected player loyalty award types; (c) provide an award threshold user interface for receiving at least one indication corresponding to player loyalty award thresholds; (d) receive award threshold data corresponding to one or more selected player loyalty award thresholds; (e) provide an award trigger user interface for receiving player loyalty award triggers; (f) receive award trigger data corresponding to selected player loyalty award triggers; and (g) configure a rules engine for a mobile wallet based, at least in part, on the award type data, the award threshold data and the award trigger data.

Methods, system and devices for managing loyalty incentive schemes are provided. In particular, payment terminals are provided that each comprise an electronic screen for displaying information to a user relating to a payment transaction, data input means, including at least one payment instrument interface for interfacing with a customer payment instrument, and at least one telecommunication module. A terminal management server is provided for managing the operation of the payment terminals. An incentive management server is also provided, for managing incentives to be applied at the payment terminals.

The invention relates to the technical field of enterprise data intelligent management, in particular to a service optimization method and system based on multi-dimensional enterprise data fusion, and the method comprises the following steps: taking a unified social credit code as a main key, and combining an enterprise name and an operation address as auxiliary matching keys; industrial and commercial registration data, tax declaration data, energy consumption monitoring data, social insurance payment data and operation development data are fused; the method has the beneficial effects that a real-time calculation framework and an intelligent algorithm are adopted, the sudden risk of an enterprise, such as sudden energy consumption increase and tax decline, can be captured in time, and an early warning and service intervention mechanism is automatically triggered. Therefore, enterprises can quickly respond to market changes, the operation risk is reduced, and the competitiveness is improved. And by accurately sensing enterprise demands and service states, the system can realize optimal configuration and efficient utilization of the service resources. Therefore, the service cost can be reduced, the service quality can be improved, and the customer satisfaction and loyalty can be enhanced.

Examples provide a system, method, and computer storage device for automatically presenting a loyalty index for a user. A loyalty index is calculated using transaction details for a plurality of users for a time period. The calculation involves calculating a total entity transaction amount, a total user transaction amount, and an entity proportion for each entity per user. The exclusivity loyalty factor proportion is an average value of the entity proportion for each entity in the favorite entities list weighted by the total entity transaction amount of each user with that entity. The examples present each entity and corresponding exclusivity loyalty factor proportion as an index icon in a user interface and automatically move the index icons to a list in the user interface in descending order of exclusivity loyalty factor proportion.

A method and system for leveraging an existing issuer user application, associated with a payment network, to create centralized merchant loyalty platform. The centralized merchant loyalty platform consolidates computing resources from different merchant systems to a centralized processing system. The centralized processing system creates a scalable computing platform that allows for loyalty programs associated with a plurality of different merchants to be seamlessly accessed through the existing issuer user application.

The invention discloses a gas station customer loyalty model training method, a gas station customer loyalty model application method and a gas station customer loyalty model training device. The training method comprises the following steps: determining a to-be-analyzed home station and a plurality of competitor gas stations corresponding to the home station; according to the collected customer refueling amount information and each competitor gas station, generating a loyalty score of each customer to the station; according to the acquired track data of the freight vehicles and gas station fences included in the gas station information, determining refueling parking details of each freight vehicle in the acquired vehicle data; according to the refueling parking details of each freight vehicle, constructing a characteristic data set of a refueling station, a refueling customer and a vehicle dimension; training a linear regression model through the feature data set to obtain a loyalty score of each customer predicted by the model; and obtaining a pre-trained gas station customer loyalty model according to the loyalty score of each customer to the station and the loyalty score of each customer predicted by the model. By adopting the method and the device, the loyalty of the customer in the market can be accurately reflected.

A method, apparatus, and computer readable storage to implement an augmented game system. A player can play an online game and accumulate loyalty points without have to pay cash. The player can enter a physical casino and play an electronic gaming machine which can retrieve the player's information from the online game including the number of loyalty points the player has and any other incentives or game add-ons the player would be entitled to. The player would then play a physical game on the electronic game normally (by depositing cash and playing) but the game play would be augmented by virtue of the player having the loyalty points or other incentives or add-ons. For example, the game can be augmented by giving the player a better paytable.

The invention is titled "User Interfaces for Loyalty Accounts and Private Label Accounts for Wearable Devices". This disclosure generally relates to the use of loyalty accounts, private label payment accounts, and general payment accounts using a wearable electronic device having an electronic wallet. Various accounts are linked to the electronic device. In some examples, the electronic device supports NFC. The electronic device can be used to provide loyalty account information and payment account information to a payment terminal such as an NFC-enabled payment terminal.

A player loyalty kiosk, system, method, and program product provide a loyalty game machine game with an enhanced player interface. A display system of the player loyalty kiosk displays the gaming interface including an animated game effect in a first area of the display system with one or more moving elements. Responsive to a player input a player input rate measurement is adjusted based on a rate of player inputs over time. A velocity of a first one of the moving elements is adjusted based on the player rate input measurement and adjusting a conclusion of the animated game effect based at least in part on the movement of the adjusted moving element.

The invention relates to a method performed by a processor unit (10) associated with at least one memory unit (20) to determine, based on actions taken by at least one user with at least one user device, at least one loyalty score of said user to at least one service provider, and to present personalized content tailored to the user based on said loyalty score.

A method for exchanging loyalty points includes storing one or more user loyalty profiles including a user identifier and one or more merchant identifiers associated with a loyalty point total; receiving a transaction request from a computing system including at least a user identification, a merchant identification, and a transaction amount; identifying a user loyalty profile including a user identifier that matches the user identification; in response to identifying the user loyalty profile, determining the merchant identification matches one of the one or more merchant identifiers; determining the loyalty point total associated with the matching merchant identifier is lower than a loyalty point total required to cover the transaction amount; and exchanging a first amount of loyalty points associated with a different merchant identifier of the one or more merchant identifiers for a second amount of loyalty points associated with the merchant identifier that matched the merchant identification.

The invention relates to a public transportation and customized public transportation collaborative dynamic pricing method and system. The method comprises the following steps: acquiring and fusing passenger behaviors, a vehicle Internet of Things, an external environment, a competition situation and operation cost data; constructing a dynamic user portrait based on the fused data, carrying out clustering and grouping, and generating price sensitivity, time sensitivity, comfort preference and service loyalty portrait tags; predicting payment willingness of the user based on the portrait; a collaborative pricing and travel recommendation strategy for different groups is generated by taking the system state and the user group portrait vector as input through a reinforcement learning pricing engine; executing the strategy and carrying out differentiated ticket price adjustment and service recommendation; passenger feedback data are collected, and user portraits and reinforcement learning model parameters are updated. According to the invention, the conversion from static splitting pricing to dynamic collaborative pricing is realized, the problems of poor collaboration and lack of elasticity of the system are solved, and the revenue capability and resource allocation efficiency of the system are remarkably improved.

A computer-implemented method, a computer program product, and a computer system for phygital integration in commerce-based checkout experiences. A computer aggregates data from one or more personal devices of a user and data from one or more biosensors of the user. A computer trains a machine learning model on features extracted from aggregated data. A computer uses the machine learning model to predict purchase preferences of the user and to generate for the user personalized recommendations, promotions, and loyalty rewards. A computer generates notifications about the personalized recommendations, promotions, and loyalty rewards. A computer transmits the notifications to the one or more personal devices. A computer monitors interactions of the user with the personalized recommendations, promotions, and loyalty rewards. A computer uses information of the interactions to train the machine learning model for future prediction of the purchase preferences and future generation of the personalized recommendations, promotions, and loyalty rewards.

A method for changing operation modes includes receiving disaster information from trending data, a newsfeed, or an alert message; upon detecting at least one redirection trigger from the disaster information, configuring a loyalty system to operate in a redirection mode; receiving or accessing data associated with a transaction between a customer and a merchant; determining, from at least one of customer information and merchant information in the data associated with the transaction, a donation amount and a location associated with the transaction; when the loyalty system is configured to operate in a redirection mode, generating signals to cause accrual of at least a portion of the donation amount to a redirection account based on the location associated with the transaction; and generating signals to cause accrual of any remaining portion of the donation amount to one or more defined donation accounts based on charity catchment area parameters.

Systems and methods are provided through which loyalty reward tokens are automatically generated and redeemed through one or more decentralized distributed ledger nodes based on dynamic tracking of user transactions. As transaction data associated with a user is received, transaction tokens are automatically minted through a decentralized distributed ledger. When a threshold amount of transaction tokens corresponding to a loyalty reward has been minted, the provided systems automatically generate a rewards token in the decentralized distributed ledger. The rewards token is redeemable for use with a merchant system, whereby when the rewards token is redeemed, the merchant system can apply the corresponding reward.

A system and method are provided for managing loyalty program accounts. The method is executed by a device and includes providing, from the device, access to a loyalty wallet application. The method also includes storing loyalty account information for a plurality of loyalty accounts in the loyalty wallet application and integrating a loyalty tracking application, operable from the device, with at least one transaction channel accessed via the device. The method also includes receiving transaction data from the at least one transaction channel; detecting, from the transaction data, that a transaction yet to be executed is eligible for a loyalty reward associated with one or more of the plurality of loyalty accounts; and modifying the transaction to use corresponding loyalty account information to obtain the loyalty reward. The method also includes enabling the modified transaction to be completed to obtain the loyalty reward.

Examples provide a system, method, and computer storage device for automatically presenting a loyalty index for a user. A loyalty index is calculated using transaction details for a plurality of users for a time period. The calculation involves calculating a total entity transaction amount, a total user transaction amount, and an entity proportion for each entity per user. The exclusivity loyalty factor proportion is an average value of the entity proportion for each entity in the favorite entities list weighted by the total entity transaction amount of each user with that entity. The examples present each entity and corresponding exclusivity loyalty factor proportion as an index icon in a user interface and automatically move the index icons to a list in the user interface in descending order of exclusivity loyalty factor proportion.

The present invention proposes an e-commerce export goods information search cloud platform based on big data. The cloud platform includes a multi-dimensional dynamic data preprocessing system, a distributed blockchain traceability system, a multi-agent collaborative optimization system, an emotion-aware search optimization system, a user interface and interaction design system, and an interface integration system. The present invention provides a reliable data basis for subsequent intelligent analysis and decision-making through efficient data processing. By applying blockchain technology and a multi-agent collaborative optimization system in the e-commerce export goods information search cloud platform, it provides efficient order processing, ensures the intelligence and optimization effect of the supply chain system, optimizes search results and customer service quality through emotion awareness, improves customer satisfaction and loyalty, and thus better serves the overall goal of the patent. The present invention provides an intelligent search cloud platform for the service of e-commerce export goods through efficient data collection and preprocessing methods, multi-agent reinforcement learning technology, and blockchain technology.