Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.

A method, apparatus and computer program product are provided for providing a patient with prescribed medication cost information at a point of prescribing. A prescription benefit coverage inquiry is received and provided to a claims processor for processing. Historical data associated with prior prescription transactions is utilized to determine an estimated cost range of a prescribed medication in the event of an insufficient or absent response from a benefits manager. The estimated cost range is then provided to a prescriber to share with a patient. A targeted out-of-pocket cost according to incentives, such as vouchers and drug manufacturer rebates may also be provided.

A computerized method for securely verifying age of users of remote devices interacting with provider resources includes receiving a request for age verification of the user; providing directly to the user device an interface for input of identifying data; receiving, from the user device, identifying data; providing, to a third party verification source, the identifying data; receiving, from the third party verification source, an indication of confirmation of the identifying data; determining, based on the received indication, whether a confidence level has been met; responsive to determining that a confidence level as been met, causing a token indicative of age verification to be generated; providing the token to the user device; providing a positive indication to the provider system, including identification of the token, and anonymizing user-identifiable data.

In one embodiment, a processing device receives a first digital fingerprint of a media item along with a first content management rule. The processing device separately receives a second digital fingerprint of the media item along with a second content management rule. The processing device determines that the received digital fingerprints are for the same media item based upon a match between the first digital fingerprint and the second digital fingerprint. The processing device determines that all rights to the media item have been accounted for, and then determines a set of actions to be performed for hosted media items comprising the media item based at least in part upon the first content management rule and the second content management rule. Processing logic may also perform a conflict resolution process for conflicting rights claims to the media item.

A transaction processing system includes a register, a settlement calculator, a receiver, and a controller. The register is configured to receive a communication from a terminal used by a customer. The communication indicates that a target commodity is to be purchased by the customer at the terminal. The settlement calculator is configured to perform settlement processing to facilitate settlement by the customer for a price associated with the target commodity. The receiver is configured to determine whether the target commodity is a commodity requiring confirmation. The receiver is also configured to acquire data associated with the target commodity in response to determining that the target commodity is a commodity requiring confirmation. The controller configured to compare the data to predetermined release data and to cause the settlement calculator to perform the settlement processing in response to the data being the predetermined release data.

A processor-based platform enables users to input data regarding characteristics of a specified object relevant to value of the specified object; calculating three different price ranges for the specified object based on the input data; providing the user with three different choices for selling the object, the three choices including: a first choice for the user to complete sale of the specified object over a short period, the first choice providing the user with a generated low price range, a second choice for the user to complete sale of the specified object over a second period longer than the short period, the second choice providing the user with a generated medium price range, and a third choice for the user to complete sale of the specified object over a third period longer than the second period, the third choice providing the user with a generated high price range.

An ex-warehousing control method, apparatus and system are provided. The method includes: receiving an ex-warehousing request, wherein the ex-warehousing request includes a vendor identification, an order amount, and a platform identification; acquiring vendor information according to the vendor identification, wherein the vendor information includes a starting value of inventory supervision, and a total inventory; in a case that a difference between the total inventory and the order amount is less than the starting value of inventory supervision, determining whether the platform identification is an unlimited platform identification; in a case that the platform identification is the unlimited platform identification, sending a pre-generated contract code to a wallet server to check a validity of the contract code; and in response to receiving a validity confirmation message sent by the wallet server, performing automatic repayment according to the order amount and sending an ex-warehousing instruction to the inventory server.

A method of utilizing an artificial intelligence, AI, having language recognition software allowing the AI to have humanistic characteristics while interacting with the seller of used vehicle. The AI identifies online vehicles for sale and downloads the seller's contact information. The AI then validates or deletes the seller's contact information. The AI then interacts with a multiplicity of valid sellers to gather additional information on the vehicle as well as make an offer to purchase the vehicle.

A third party item listing management system useable for validation of third party items to be included on a retailer website is disclosed. The third party item listing management system includes an application programming interface (API) accessible by a plurality of third parties and configured to receive item data. An item management process receives the item data and calls an item validation pipeline which includes a plurality of item validation stages including an item legalization stage. In the item legalization stage, the item data and the identity of the third party are validated against a plurality of item listing rules to determine whether the one or more items are allowed to be offered via the retailer website by the third party. The item listing rules can include a rule preventing the third party from listing an item included in a core item collection offered by the retailer via the retailer website.

In embodiments, diagnostics are electronically determined and provided as to why historical resource values differ from resource values determined according to more-trusted ways. Historical relationship instance data regarding a plurality of historical relationship instances between a primary entity and a plurality of secondary entities are received along with a plurality of historical resource values, in which each historical relationship instance of the plurality of historical relationship instances is associated with a respective historical resource value of the plurality of historical resource values. The system produces a respective trusted resource values based on the respective historical relationship instance. Based on differences between the respective trusted resource value and the respective historical resource value associated with the dataset, the system outputs one or more diagnostic comments associated with the detected difference.