Entities may reference ledgers in order to better understand a historic use and/or status of an account. For example, a user may track historic spending or received payments based on referencing a ledger, or an enterprise may check a balance of an account for a user based on a ledger. However, the utility of ledgers in estimating an amount of funds available for a user's use is limited. Embodiments of a financial analyzer as described herein may provide entities with estimations of finances that include contributions from one or multiple income sources, including irregular sources. Some embodiments may provide recommendations to customers to meet needs based on a financial estimation.

A monitoring system for detecting anomalous discharges stores input and output records, and fetches and discharges corresponding quantities to and from user resources. The output event records are discriminated for category attributes, and user-specific output category-specific metrics are aggregated for comparison to peer-representative output-category indexes. An alert is sent across a network connection for display on a user device upon determining the user-specific output category-specific metric diverges from the peer-representative output-category index. An alert, in some examples, indicates that the user-specific output category metric exceeds the peer-representative output-category index. Exposure of user-entity resources to outputs that are divergent from peer-representative levels is mitigated. The alert is advantageous to user entities and user devices, enabling early action to be taken by the user entity.

The disclosed embodiments include computerized systems and methods for generating secured block-chain-based ledger data structures that track subdivide ownership and usage of one or more assets, such as Internet-connected devices. In one instance, an apparatus associated with a rules authority of the secured block-chain-based ledger may detect an occurrence of a triggering event related to at least one of partial ownership interests in the assets, and may access and decrypt a set of rules hashed into the secured block-chain-based ledger using a confidentially-held master cryptographic key. The apparatus may identify a rule associated with the detected event, and perform one or more operations consistent with the rule, including a generation of additional data blocks reflecting a change in at least one of the partial ownership interests, and additionally or alternatively, processes that adaptively monitor a compliance of one or more partial owners with an imposed usage restriction.

The disclosed embodiments include computerized systems and methods for generating secured blockchain-based ledger data structures that track occurrences of events across fragmented and geographically dispersed lines-of-business of an enterprise. In one instance, an apparatus associated with a rules authority of the secured blockchain-based ledger may detect an occurrence of a triggering event, and may access and decrypt a set of rules hashed into the secured blockchain-based ledger using a confidentially-held master cryptographic key. The apparatus may identify a rule associated with the detected event, and perform one or more operations consistent with the rule, including a disbursement of various rewards to employees in response to customer-specific interactions with the enterprise. The disclosed embodiments provide a rules process for aggregating mutually incompatible enterprise data that specifies the events, and for tracking the events in uniform data structures accessible across the enterprise.

Automated provisioning, according to one example embodiment, enables a mutual customer to establish an intelligent and automated connection between an accounting software system and their financial institution. For example, this might be achieved by allowing a financial institution customer to make feeds from their bank accounts available to the accounting software system within financial internet software (e.g., hosted and operated by the customer's financial institution). Once a customer selects the bank account(s) they want to share with the accounting software system, they are passed along to the accounting software system to link the selected bank account with an account they have set up in the accounting software system.

Systems as described herein generate an outstanding check alert. An alert generating server may receive transaction records associated with a plurality of checking accounts. The alert generating server may user a first machine learning classifier to determine a transaction pattern indicating a merchant has failed to process outstanding checks for a period of time. The alert generating server may receive sequential check information comprising at least one missing check number associated with a particular checking account. The alert generating server may user a second machine learning classifier to determine at least one outstanding check associated with the particular checking account. The alert generating server may send an alert indicating the at least one outstanding check to a user device.

Systems and methods for distributed ledger-based check verification are disclosed. In one embodiment, a method may include a bank backend computer program: (1) receiving, from a computer application executed by an electronic device, an image of a presented check as part of an electronic check deposit process; (2) performing optical character recognition on the image of the presented check; (3) generating a text file based on the optical character recognition; (4) querying a distributed ledger in a distributed ledger network to determine whether the presented check has been presented or cleared before; (5) determining that the presented check has not been presented or cleared before; (6) processing the presented check for deposit; and (7) writing the text file for the presented check to the distributed ledger.

Automated provisioning, according to one example embodiment, enables a mutual customer to establish an intelligent and automated connection between an accounting software system and their financial institution. For example, this might be achieved by allowing a financial institution customer to make feeds from their bank accounts available to the accounting software system within financial internet software (e.g., hosted and operated by the customer's financial institution). Once a customer selects the bank account(s) they want to share with the accounting software system, they are passed along to the accounting software system to link the selected bank account with an account they have set up in the accounting software system.

A transaction tracking system includes a display that permits viewing the relationship between related transactions. In the display, individual transactions are depicted as transaction icons sorted in time order horizontal rows according to order ID.

The disclosure relates to a method for bills to be paid automatically from sources of income. The disclosure also relates to a method for determining a risk of credit loss associated with paying recurring bills through direct deposit repayments. An example method includes collecting one or more data associated with one or more customers; receiving historical data; creating a model based on the historical data; predicting one or more activities of the one or more customers based on the one or more data and the model; determining a risk of credit loss associated with the one or more customers based on the prediction of the one or more activities; and providing the risk of credit loss to one or more billers.