18 results about "Loyalty program" patented technology

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.

This invention is about methods and systems for utilizing trip (flight, train, ferry) data and time at which trip milestones occur to automatically create an incremental, spread-out, progressive earning plan for any of the award amounts that a travel loyalty program's member is entitled to, to employ the incremental earning plan to automatically insert the earnings according to the incremental earning plan to the member's account or to automatically trigger their insertion, to allow visual tracking of the plan through a user interface and to present additional miles in the same incremental fashion in case of delays.

An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

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.

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.

A dynamic digital advertising content system having a front end system and a back end system, and used to present product content to a user's computing device in the form of a digital circular. The back end system provides retailers and third party access to upload, and update, product content information for the digital circular, including videos and animations. The dynamic digital advertising content system can include integrations for third-parties such as digital coupon providers and loyalty program providers. The system permits users the ability to share with other users merchandise displayed in the digital circular and / or selected for a shopping list. Such shared content can be dynamically arranged for subsequent presentation on a computing device of the recipient. The digital circular is further customizable for individual retailers or retailer locations, as well as customizable based on detected histories and / or characteristics of the user receiving the digital circular.

In a system and method for providing a points liability forecast, data associated with transactions related to a retail loyalty program based on points accumulated by each customer enrolled in the retail loyalty program is received and stored. One or more training sets of data is created based on the received and stored data. The one or more training sets are used to generate a machine-learning model that forecasts points liability. Input parameters related to retail loyalty program are received from aa user, for input to the machine learning model. Forecast parameters based on the input parameters are received, as output from the machine learning model. Finally, the forecast parameters are provided to the user via an interface.

Examples provide a system, method, and computer storage device for automatically designing and presenting loyalty programs in a user interface. Loyalty data is retrieved from a historical transactions database and anonymized by masking and aggregating the data. The anonymized data is encoded into a generative pre-trained transformer and decoded into proposed loyalty programs with a predicted likelihood of consumers to make transactions in that program. The proposed propensity for each proposed loyalty program is compared with a threshold propensity that is a minimum acceptable propensity for consumers to make transactions in any loyalty program. Based on the comparison, a relative effectiveness of each proposed loyalty program is determined. Each proposed loyalty program is presented as a natural language icon in a graphical user interface (GUI) and the natural language icons are automatically moved to a list in the GUI in descending order of relative effectiveness.

An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

A system and method are provided for managing loyalty program accounts. The method 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. Notifications may be determined and sent using a machine learning system.

The system may provide an access function to a customer device. The system may receive, from the customer device, a request for the business function via the access function. The system may provide, to the customer device, the business function. The access function may include at least one of a QR code, a link in an SMS text, a link in an email, an NFC tag or a NFC tap that provides a business function for a business. The business function may include issuing a coupon, validating the coupon, enrolling in a loyalty program, issuing points in the loyalty program, providing a review request, setting a reminder, adding to a promotions list, downloading an app, connecting on social media, sending a payment link, booking an appointment, sending a survey, sending a gift account, enrolling in a birthday club and joining a referral program.

A method of implementing a loyalty reward program is described. The technique requires minimal sign-up and sign-in requirements using a portable device, such as a cell phone, and a personal identification number. Rewards are earned based on one or more criteria, such as the amount of time spent at a location, and can be instantly redeemed through a kiosk. The rewards are most preferably cash, but could be in another form, such as a coupon or a physical item.

A host server (102, figure 1) receives a request to access a gaming platform from a player account. The player account includes player identifying information, a player wallet, and a loyalty program.

A system is provided.SOLUTION: A system comprising: means for registering account information of a plurality of point programs possessed by a user for integrated management of points of different business entities; means for acquiring point information of each of the registered point programs; means for exchanging points between the point programs; means for storing the acquired point information in a database and displaying a point conversion or transaction history in response to a request from the user; and means for analyzing a use history or preference of the user and generating and presenting an appropriate marketing message.SELECTED DRAWING: Figure 1

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.

An object of the system according to the embodiment is to analyze customer data and a purchase history and propose, evaluate, and improve an optimal loyalty program.SOLUTION: A system includes a data collection part, an analysis part, a proposal part, an evaluation part, and an improvement part. The data collection part collects customer data and purchase history. The analysis unit analyzes the customer data and the purchase history collected by the data collection unit. The proposal unit proposes an optimum program or privilege on the basis of the result analyzed by the analysis unit. The evaluation unit evaluates the effect of the program proposed by the proposal unit. The improvement unit improves the program on the basis of a result evaluated by the evaluation unit.SELECTED DRAWING: Figure 1

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.

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.