A system providing self-service access to locked merchandise comprising: (a) providing a fixture that restricts access to the locked merchandise, wherein the fixture can automatically lock or unlock, allowing or restricting access to the locked merchandise; (b) providing a means of uniquely identifying an individual attempting to access the merchandise; (c) measuring a set of behaviors of the individual during any time the fixture is an open mode; (d) assessing whether the set of behaviors of the individual are suspicious or not relative to a set of suspicious event thresholds; (e) storing the individual and their set of behaviors as accessible records in at least one database; and (f) providing an algorithm which determines future access privileges of the individual to the enclosure based on a set of variables.

A personalized digital travel advisor system includes a computing device, a virtual travel advisor platform accessible via the computing device, a user profile integrated into the virtual travel advisor platform, a database, and a data analysis center. User data is collected and stored in the database to build a robust user profile based on a user's interests and preferences. The user data is analyzed by the data analysis center and one or more travel related recommendations are provided to the user based on the user profile.

A customer who is contacting customer care via a support session regarding a problem is classified into a customer category of multiple customer categories based at least on customer account information of the customer. A customer care topic in a predetermined set of multiple customer care topics that correspond to the problem is then identified via machine learning. A topic script that corresponds to the customer category of the customer for the customer care topic in the predetermined set of customer care topics is further retrieved or generated, in which the topic script includes one or more topic issues related to the customer care topics. The topic script is provided for presentation to a customer service representative (CSR) to prompt the CSR to discuss the one or more topic issues related to the customer care topic with the customer.

Systems, methods, and apparatuses for processing a rewards transaction including an accounts database storing information associated with accounts held by a financial institution including a payment account associated with a customer, a rewards account database storing information associated with reward accounts, including a rewards account associated with the customer, and a processing circuit. The processing circuit is structured to receive transaction details that define a rewards transaction associated with the rewards account, receive a rewards transaction request associated with the rewards account, the rewards transaction request including a rewards amount and recipient details, debit an amount of points from the rewards account maintained by the financial institution and associated with the customer, where the amount of points are less than or equal to the rewards amount, and complete the rewards transaction without converting the rewards amount to currency.

A gift redemption system may include a gift processing server configured to accept a gift value for a gift product for a gift recipient, and permit selection of a retailer from among retailers for the gift product. The gift processing server may also be configured to associate a gift recipient identifier with the gift recipient, and permit selection of a redeemable gift value from the gift value. The system may also include a retailer server associated with the selected retailer. The system may also include a gift redemption server configured to obtain the redeemable gift value and the gift recipient identifier, and cooperate with retailer server to generate a gift discount identifier for use by the gift recipient at a point-of-sale (POS) of the gift product based upon the redeemable gift value and the gift recipient identifier.

Techniques for enabling the creation of a digital asset representation of physical goods (e.g., luxury items) produced in limited quantities or heirloom-goods associated with restricted ownership rules. Anti-counterfeiting mechanisms are proposed for both classes of goods. The provenance of both classes of goods is traced using cryptography and decentralized ledger technology. For example, mechanisms to restrict ownership of heirloom-goods are proposed based on the combination of the DNA biological fingerprint of the patron who originated the goods and smart contract technology. The goods can be represented as digital tokens on the blockchain, binding manufacturing evidence to the token. For heirloom-goods that have restricted ownership rules, persons seeking to acquire the good via the digital token and smart contract are required to prove that they satisfy the entitlement rules based on a biological relationship to the patron.

Processor(s) of a client device can: analyze one or more features of an electronic resource that is under consideration for solicitation to a user; determine a notification likelihood that the user will access the electronic resource in response to an unsolicited notification of the electronic resource being output to the user; determine a baseline likelihood that the user will access the electronic resource without being solicited; compare the notification likelihood with the baseline likelihood; and cause, based on the comparing, the unsolicited notification to be output to the user. In some implementations, determining the notification likelihood and/or the baseline likelihood is based on applying data associated with the electronic resource as input across a machine learning model to generate output indicative of the notification likelihood and/or the baseline likelihood. In other implementations, determining the notification likelihood and/or the baseline likelihood is based on past behavior or preference(s) of the user.

Systems and methods which provide shipping management system shipping documentation generation operation which spawns intelligent generation subprocesses are described. The intelligent generation subprocesses of embodiments facilitate autonomous shipping documentation generation functionality of a concatenated shipping documentation generation process. A user may initiate a shipping documentation generation process, whereby an intelligent generation subprocess is spawned, and thereafter the user may be freed to perform one or more independent operation and/or interaction with the shipping management system. One or more verifications, checks, warnings, and/or the like are suspended and one or more parameter, input, selection, and/or the like are defaulted for operation of an intelligent generation subprocess of embodiments. Embodiments implement a documentation queue to provide historical information with respect to intelligent generation subprocess operation.

The present invention provides methods and systems for determining the play value of a playground, the challenge level of a playground, or both. In some embodiments, the methods and systems may propose modifications to a playground that would result in an effective and efficient increase in the play value of the playground, a desired increase or decrease in the challenge level of the playground, or both. Further, in some embodiments, the methods and systems may be configured to provide comparisons of various playgrounds in order to determine which playgrounds are of greatest play value. In some embodiments, the methods and systems may be incorporated into software that is configured for the design of playgrounds.

A method, system, and computer program product for identifying a malicious user obtain a plurality of service requests for a service provided by a processing system, each service request of the plurality of service requests being associated with a requesting user and a requesting system, and a plurality of service responses associated with the plurality of service requests, each service response of the plurality of service responses being associated with the processing system; and identify the requesting user as malicious based on the plurality of service requests and the plurality of service responses.