Techniques are described for migrating information from a first account to a second account, based on analyzed image(s) of document(s). Image(s) of a document may be generated using an image capture device of a smartphone or other portable computing device. The image(s) may be analyzed, through pattern recognition analysis or barcode scanning, to extract the information from the image(s). The information may then be employed to schedule a transaction, such as payment of a bill described in the information. In some instances, the extracted information may be used as part of an account migration process, in which transactions are migrated from a first account to a second account.

Techniques are described for migrating information from a first account to a second account, based on analyzed image(s) of document(s). Image(s) of a document may be generated using an image capture device of a smartphone or other portable computing device. The image(s) may be analyzed, through pattern recognition analysis or barcode scanning, to extract the information from the image(s). The information may then be employed to schedule a transaction, such as payment of a bill described in the information. In some instances, the extracted information may be used as part of an account migration process, in which transactions are migrated from a first account to a second account.

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.

A financial institution computing system associated with a financial institution includes a network interface configured to communicate data over a network, and a processing circuit comprising a memory and a processor. The memory has instructions stored thereon that cause the processor to receive, by the network interface, a content request from a user computing device associated with a user, the content request requesting content from a network destination, determine if the network destination is associated with a trusted entity, determine that the requested content prompts the user to input sensitive information, and transmit, by the network interface substitution content to the user computing device responsive to determining that the network destination is illegitimate and to determining that the requested content includes at least one field into which the user may input sensitive information, the substitution content including at least one prompt requesting the user to input sensitive information.

A financial institution computing system associated with a financial institution includes a network interface configured to communicate data over a network, and a processing circuit comprising a memory and a processor. The memory has instructions stored thereon that cause the processor to receive, by the network interface, a content request from a user computing device associated with a user, the content request requesting content from a network destination, determine if the network destination is associated with a trusted entity, determine that the requested content prompts the user to input sensitive information, and transmit, by the network interface substitution content to the user computing device responsive to determining that the network destination is illegitimate and to determining that the requested content includes at least one field into which the user may input sensitive information, the substitution content including at least one prompt requesting the user to input sensitive information.

An account management system establishes an account for a user. The user enters user account information into the account and the account management system establishes a facial template for the user based on an image of the face of the user. The user requests to change user account information at a merchant POS (POS) device. The merchant POS device captures a facial image of the user and transmits the image the account management system, which generates a facial template and compares the generated facial template against the existing facial template associated with user account. If the generated facial template is less than a threshold difference from the existing facial template, the user may update user account information at the merchant POS device, which communicates the updated user account information to the account management system. The account management system associates the updated user account information with the user account.

An account management system establishes an account for a user. The user enters user account information into the account and the account management system establishes a facial template for the user based on an image of the face of the user. The user requests to change user account information at a merchant POS (POS) device. The merchant POS device captures a facial image of the user and transmits the image the account management system, which generates a facial template and compares the generated facial template against the existing facial template associated with user account. If the generated facial template is less than a threshold difference from the existing facial template, the user may update user account information at the merchant POS device, which communicates the updated user account information to the account management system. The account management system associates the updated user account information with the user account.

A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.

A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.