Abstract: Techniques for real-time expense auditing and machine learning are disclosed. An expense auditing system trains a machine learning model to compute audit risk scores as a function of expense descriptions. The auditing system receives an expense description associated with an employee. The expense auditing system computes, using the trained machine learning model, an audit risk score associated with the expense description. The expense auditing system compares the audit risk score with an audit trigger. The audit trigger includes one or more conditions that, when satisfied, identifies expense descriptions that are at risk of being audited. The expense auditing system determines that the audit risk score satisfies the audit trigger. Responsive to determining that the audit risk score satisfies the audit trigger, the expense auditing system alerts the employee that the expense description is at risk of being audited.

Abstract: An apparatus, including a central processing computer specially programmed to process recruitment, job searching, project searching, or scheduling, information, regarding a job or project related to a commercialization or monetization activity regarding an intellectual property; and a distributed ledger and blockchain technology system. The central processing computer transmits an electronic forum to a user device, wherein the central processing computer receives information for engaging in a recruitment, job searching, project searching, or scheduling, activity, in or via the electronic forum, and the central processing computer provides a videoconference call between the individual and an employer or hiring entity or between the individual and a job applicant. The central processing computer generates an electronic forum report containing information regarding an activity or activities of the individual in or during the electronic forum.

Abstract: A computer system includes a container deployment and management server for executing a container builder. The container builder is configured to generate and deploy a transaction tax engine container. The container builder is configured to extract from client configuration settings a subset of multiple products and a subset of multiple geographic regions applicable to transactions processed by a client, identify a subset of the tax rate and rule data applicable to each of the subset of products in each of the subset of geographic regions, and create a local edge database including the subset of tax rate and rule data and excluding a reminder of the tax rate and rule data. The container builder is further configured to create a transaction tax engine container image and transmit the tax engine container image to an edge computing device.

Abstract: A control system is for a container terminal with containers. The control system includes a server, and a terminal tractor operable within the container terminal. The terminal tractor comprises onboard tractor sensors configured to generate sensor data of at least some of the containers, a geolocation device configured to generate a geolocation value for the terminal tractor, a wireless transceiver, and a controller coupled to the onboard tractor sensors, the geolocation device, and the wireless transceiver. The controller is configured to transmit the sensor data and the geolocation value for the terminal tractor to the server. The server is in communication with the terminal tractor and is configured to generate a database associated with the sensor data, the database comprising, for each container, a container type value, a container logo image, and a vehicle classification value.

Abstract: A tool application system for a vehicle may include a database configured to maintain an inventory of items on a vehicle, and a server configured to receive a request for at least one item relating to a worksite from a technician, compare the request for the at least one item to the inventory, determine that the item is not part of the inventory, transmit a part request to at least one location based on at least one factor, and transmit instructions to the vehicle in response to receiving a response to the request from the location confirming availability of the item.

Abstract: Methods and systems directed to scanning, by an imaging device associated with a customer computing device, a Quick Response (QR) code displayed on a merchant computing device; decoding, by an application on the customer computing device, data embedded in the QR code; identifying, by the customer computing device and based on the decoded data, a uniform resource locator (URL) associated with a web page of the merchant, wherein the URL includes a payment proxy associated with the merchant; presenting the web page on the customer computing device; transmitting, by the customer computing device, an indication of interaction with the web page comprising an intent to purchase item(s) offered for sale via the web page; and receiving, by the customer computing device, an indication of completion of a payment for the item(s) facilitated by parsing the payment proxy server(s) of a payment processing system.

Abstract: Methods, systems, and apparatuses are described herein for generating and managing virtual transaction cards based on mobile device location so as to provide transaction security during in-person transactions. A geographic location of a mobile device may be determined, a proximate merchant may be selected, and a virtual transaction card may be generated for that particular merchant. Data corresponding to that virtual transaction card may be deployed into a digital wallet device for use during transactions with point-of-sale devices. Use of the digital wallet device may be conditioned on geographic location, time, an unlock command from a mobile device, or the like. By providing such dynamically-generated and limited virtual transaction cards for in-person transactions, the threat of security vulnerabilities relating to point-of-sale systems may be mitigated.

Abstract: Systems and methods for determining shrinkage of a commodity sold by a store are provided which may include: identifying data indicative of a volume of the commodity, associating a label with a container that holds the commodity, collecting the label information with a reader and transmitting collected label information to at least one server, automatically determining data characterizing the material in the container, associating the label information and the data characterizing the material in the container, and determining performance data related to the commodity by comparing the data indicative of the volume of the commodity supplied to the store, the data indicative of the volume of the commodity sold by the store, and the data characterizing the material in the container.

Abstract: One variation of a method for tracking placement of products in a store includes: accessing an image recorded by a mobile robotic system within a store; detecting a shelf in a region of the image; based on an address of the shelf, retrieving a list of products assigned to the shelf by a planogram of the store; retrieving a set of template images—from a database of template images—defining visual features of products specified in the list of products; extracting a set of features from the region of the image; determining that a unit of the product is mis-stocked on the shelf in response to deviation between the set of features and features in a template image, in the set of template images, representing the product; and in response to determining that the unit of the product is mis-stocked on the shelf, generating a restocking prompt for the product.

Abstract: Systems and methods for processing multiple point-of-sale (POS) transactions include receiving, at a first window of a user interface, a first input of payment information associated with a first item of a first POS transaction and presenting, at a second window of the user interface, a status of the first POS transaction. The POS system then may receive, at the first window and concurrently with presentation of the status at the second window, a second input associated with a second POS transaction, where the first window is associated with the second transaction and the second window is associated with the first transaction. The POS system may receive a notification of a confirmed payment of the second POS transaction prior to a resolution of the first POS transaction.

Abstract: An example method includes receiving an application, sending a prompt to an applicant to authorize access to financial information by an open banking system, and receiving the financial information associated with the applicant, the financial information including at least income information associated with the applicant. The method also includes determining an income score associated with the applicant based at least in part on the financial information, determining a threshold income score, and determining that the income score is equal to or greater than the threshold income score. The method further includes sending, to a reviewer, a recommendation to approve the application based at least in part on determining that the income score is equal to or greater than the threshold income score.

Abstract: An invoice processing system is proved. The system includes a database and a server in electronic communication with the database. The server is operative to: interpret an invoice; interpret historical data from the database, the historical data corresponding to at least one of one or more vendors of past invoices or one or more payors of past invoices; and in response to the interpretation of the invoice, determine a vendor of the invoice based at least in part on the historical data. The server is further operative to in response to the determination of the vendor, determine a value for each of one or more judgment fields via machine learning based at least in part on the historical data and the vendor; and transmit the invoice with the vendor and the value for each of the one or more judgment fields.

Abstract: Provided are a re-using e-commerce payment instruments for in-store purchasing systems and methods. A customer enters a check out and a transaction at the point of sale is started. The system receives a pairing request at a wallet processor from a customer mobile device operating a mobile application. This pairing request is created and sent in response to scanning of a code having a transaction identification. The system associates a customer payment profile with the transaction identification and sends associated information to the point of sale. The point of sale sends an amount of sale to authorize to the wallet processor after completing scanning of items. The system creates an authorization for payment and sending the authorization for payment to an authorizer. The transaction may then be completed by processing payment.

Abstract: The present disclosure discloses methods, systems, an electronic device, and a storage medium for confirming a property right and for transferring a property right. The present disclosure realizes the confirmation and transfer of the ownership of a property and traceback of the ownership of the property, making the process of right confirmation and implementation is more efficient and secure, and improving the user experience.

Abstract: Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

Abstract: The technology disclosed herein enables configuration and sharing of a coverage map which displays asset data. In various implementations, an asset owner provides access to select portions of asset data, such as vehicle performance data, to an end-user. The asset owner configures a coverage map to display the selected data according to the type of asset data to be displayed, the scope of the data to be displayed, and other map attributes. Once configured, a URL is generated which the fleet operator provides to the end-user.

Abstract: Techniques are described for generating a set of emotion factor values using one or more machine learning models for customer communications. For example, a computing system includes one or more processors in communication with a memory. The one or more processors are configured to receive communication data of a current communication associated with a customer, apply the communication data to an emotion-based indexer as input wherein the emotion-based indexer includes a set of machine-learning models for a set of emotion factors, generate as output from the emotion-based indexer a set of emotion factor values for the current communication wherein each emotion factor value indicates the measure of a particular emotion factor in the current communication, apply the set of emotion factor values to an emotion classification model, and classify the current communication into an emotion state based on the set of emotion factor values.

Abstract: Methods, systems, and media are provided for coordinating an interactive workflow between a first end user device having a first display and a first client application, and a second end user device having a second display and a second client application. In one example, a method comprises connecting the first end user device to a real-time database and setting a first listener on a field or table of the real-time database, connecting the second end user device to the real-time database and setting a second listener on the same or a different field or table of the real-time database.

Abstract: Cameras capture images of shelves/displays having items. The images are processed to identify real-time item counts on the shelves and/or empty or partially empty shelves with less than a configured number of items. Notifications or messages regarding item counts and/or empty shelving conditions are sent through an Application Programming Interface (API) to consuming services in accordance with custom defined rules. In an embodiment, real-time item counts and/or empty shelving conditions are dynamically reported through the API based on on-demand requests from the consuming services.

Abstract: Implementations ingest records across multiple accounts hosted by different service providers and augment the records with metadata. For example, ingesting can include processing the records to identify transactions in the records and to discover additional aspects of the transactions. In some implementations, metadata can be used to augment the identified transactions in the records, where metadata can include a category, a digital receipt, a user tag such as a geotag, and other suitable metadata. The ingesting and augmenting the records can populate a coordination data structure with identified transactions and their associated data elements. These identified transactions can then be queried and a result set of transactions that span the different user accounts can be returned. In some implementations, the transactions can be queried using the augmented metadata, or other suitable pieces of information for the transactions.