A virtual payment system for paying for goods, services and content ordered over an internetwork is disclosed. The virtual payment system includes a commerce gateway. Buyers and sellers becomes registered participants by applying for virtual payment buyer and seller accounts. Once an account is established with the commerce gateway, a digital certificate is stored on the registered participant's computer. A buyer can then order a product, i.e., goods, services or content from a seller and charge it to the virtual payment account. When the product is shipped, the seller notifies the commerce gateway, which applies the charges to the buyer's virtual payment account. The buyer can settle the charges using a prepaid account, a credit account, or by using reward points earned through use of the virtual payment account. A buyer may create sub-accounts.

A computer-implemented method for initiating online collections that includes determining a current status of an account held by an account holder, determining a real-time financial profile of the account holder using information on the banking institution computer systems and third party information providers and displaying a customized status message based on the account holder's financial profile. The method provides remediation options to the account holder.

A computing system facilities live and robo-advising sessions, and transitions therebetween based on detection of triggers. The computing system may extract voice inputs of a user from ambient sounds captured using a sound sensor. Based on an analysis of the voice inputs and detection of corresponding triggers, the computing system may initiate a robo-advising session, or a live communication session between a user computing device and an advisor computing device. Detection of another trigger during the robo-advising session or the live communication session may lead to a transition to a live communication session or a robo-advising session, respectively.

An integration system for a system of platforms includes an orchestration platform, a blockchain transactional platform, a digital transactional platform, a merchant system, a user trust platform, and one or more user devices connected to each other and a distributed ledger and/or a secondary mesh network via one or more networks. The blockchain transactional platform performs accesses and performs actions on the distributed ledger and/or the secondary mesh network. The digital transactional platform maintains transactional data indicative of an amount of first-domain value correlated to a user. The blockchain transactional platform maintains blockchain transactional data indicative of an amount of second-domain value correlated to the user. The orchestration platform manages data exchange, synthesis, fusion, analysis, and transformation between the components of the system, including for the orchestration of transactions.

A method of determining a likelihood that a debt payment will be made or received, the method comprising sending a message to a debtor mobile computing device comprising a link to a debtor portal; displaying on the debtor mobile computing device an indication of the debt owing; displaying on the debtor mobile computing device a proposed payment plan for settlement of the debt; and receiving an indication that the debtor accepts the proposed payment plan is disclosed. The method may use Next Best Action (NBA) modelling. The message sent may be a SMS message and it may include an indication of the debt owing. The method may further comprise offering a discount to the debtor if the discounted amount is paid that day. The offer of a discount may initiate an automated negotiation process with the debtor.

At least some embodiments are directed to a prediction system of software objects. The prediction system predicts a first aspect of a user profile utilizing a categorization machine learning model and a user activity profile, the user profile and the user activity profile are associated with a user. The user activity profile comprises a plurality of values associated with demographics and historical activity data of the user. The prediction system predicts a software object associated with the user profile utilizing an optimization machine learning model, the first aspect of the user profile, and a second aspect of the user profile. The software object is optimized with respect to at least one competitive interest between the user associated with the user profile and an entity associated with the software object. The prediction system outputs the software object to a client computing device of the user.

A portable remote processing apparatus facilitates various aspects of a transaction, such as a real estate property transaction. A seller of the real estate property can use the portable remote processing apparatus to prepare a walk-through of the property for prospective buyers, to configure the property for a showing, and/or to interact with a buyer device to negotiate a sale of the real estate property. Typically, the portable remote processing apparatus communicates with a remote server device, thereby limiting the amount of hard coding in the apparatus and improving the processing capability of the apparatus.

In some examples, a payment processing system receives transaction information of transactions performed by a plurality of merchants. The payment processing system may generate, using one or more trained machine learning classifiers and based on transaction information of a current transaction of a first merchant, a request to a plurality of financial systems. Further, the payment processing system may expose an application programming interface (API) to at least one financial system of the plurality of financial systems for electronic communication of financial information at least one of to or from the at least one financial system. Additionally, the payment processing system may generate, using the one or more trained machine learning classifiers and based at least on information obtained from the at least one financial system, via the API, one or more payment actions for the first merchant to perform using the payment processing system.

An exemplary system, method and computer accessible medium can include receiving an authorization token related to a customer(s), determining a client identification (ID) associated with the customer(s) based on the authorization token, and determining access to a microservices(s) based on the client ID. An application for a loan(s) from the customer (s) can be received based on the client ID and the loan(s) can be associated with an application ID(s). A further authorization token related to a further customer(s) can be received, a further client ID can be determined based on the further authorization token, a determination can be made as to whether the further client ID has access to the application, and access to the application can be granted to the further customer(s) if the further client ID is determined to have access to the application.

Disclosed embodiments provide systems and techniques for mass execution of analytical models across multiple dimensions of client, collateral, deal structure, third party, and other data relevant to predicting optimal decisions in real-time. In some embodiments, disclosed systems and techniques increase decisioning speed through the reduction of computational loads on disclosed decisioning systems. Further disclosed systems and techniques may scale-out analytical modeling computations through, among other technological solutions, advanced execution environments that are asynchronous and non-blocking in nature so as to allow the execution of a plurality of analytical models in parallel and optimizing the results.