Abstract: A packing system for packing products (e.g., medications) and other components into a container for shipping to customers is provided. The packing system includes a system controller that directs carrier devices along routes between task stations. The system controller can monitor the tasks performed by the task stations, the locations of the carrier devices, the tasks yet to be performed to complete packing of the containers at the task stations, and queues of other carrier devices at the stations. Based on this information, the system controller may direct the carrier devices to different stations and may change the task performed by or assigned to one or more of the stations.

Abstract: Aspects of the present disclosure provide streamline techniques to alert sales personal/associate of an item in need of replenishment on the sales floor or in the stock room, and provide real-time data indicating units of an item within a retail location. The present disclosure provides a method, system and computer readable medium for inventory management utilizing radio-frequency identification (RFID) technology. The method may include detecting a first signal from an electronic product code (EPC) tag at a first location; generating a value of an inventory count based on the first signal; detecting a second signal from the EPC tag at a second location; updating the value of the inventory count based on the second signal; comparing the updated value to a threshold value, and when the updated value meets the threshold; and sending a notification of a task to a mobile device.

Abstract: Certain aspects of the present disclosure provide techniques for controlling at least one robot system. This includes offering control of a first robot to a first mobile application, indicating an available service offered by the first robot, and receiving instructions to perform the available service. This further includes delivering: (i) debris, (ii) dust, or (iii) cut grass to a stationary second garbage collection robot. A computing system maintains a device profile for the first robot, indicates the available service and a status of the first robot to the first mobile application, and is configured to update the first mobile application. The first robot is configured to drive while performing the available service and is controlled by at least one of: (i) a camera or (ii) a sensor, to avoid collision. The second robot is a stationary garbage collection robot configured to store the delivered debris, dust, or cut grass.

Abstract: A transaction data processing apparatus includes a scanning unit configured to scan a product code of a product related to a transaction, a printing unit configured to print transaction data on a sheet, a communication unit configured to transmit the transaction data to an external device over a network, and a control unit. The control unit is configured to generate the transaction data based on the scanned product code, determine whether the network is online or offline, and control the communication unit to transmit the transaction data to the external device when the network is online, and the printing unit to print the transaction data on the sheet when the network is offline.

Abstract: Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service using a data network, the input including data associated with a requirement generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input being associated with a machine in data communication with a platform, transforming the input, the data, and a result to a data format using a logic module to generate match data to identify a vendor capable of manufacturing at least a portion of the item, ranking and transforming the match data to a different data format to render a display of resultant data transmitted by the platform to the notification service for display on one or more client devices used to procure a manufacturing, procurement, or distribution service for the item.

Abstract: A method of generating a fault determination in a building management system (BMS), the method including receiving signal data, generating, using a number of fault detection models, a number of fault indications based on the signal data, generating, using a weighting function, based on the number of fault indications, a fault score, comparing the fault score to a fault value, and determining, based on the comparison, an existence of a fault.

Abstract: A retailer computer system receives from a first computing device a shopping recap having data indicative of one or more products that were shown to a customer by the sales associate while the customer was within a retail establishment. The received shopping recap is stored within a data repository where it is linked to a customer identifier that is associated with the customer and an associate identifier that is associated with the sale associate. If the customer later purchases a product, data indicative of the product being purchased is compared against data within any shopping recap that is linked to that customer to determine if a sales associate that is also linked to any shopping recap linked to that customer is to be awarded a commission for the product being purchased. The purchase of the product by the customer may further generate a digital receipt where the digital receipt includes a notice that the customer is being awarded an incentive, such as a coupon.

Abstract: Techniques for allocating resources in an item handling environment are described. In an example, a computer system determines that an item is to be transferred at an item handling station to or from a stowage unit. The computer system determines data associated with transferring the item. The data indicates at least one of: an item type, a sequence of transferring items to or from the stowage unit, capability at the item handling station associated with handling the item type, an ergonomic parameter associated with the handling, a configuration of the stowage unit, an allocation of one or more resources to handle items, or a schedule of the allocation. The computer system generates, by using the data as input to an artificial intelligence model, a set of instructions indicating an allocation of a resource to the item handling station for the transferring of the item and a timing of the allocation.

Abstract: A device is configured to receive an interaction request from the first user that identifies an address for a contract that is stored in a blockchain and to access machine-executable instructions associated with the contract. The device is further configured to determine a projected number of virtual resources and real-world resources for the first user based on a number of available resources for the first user and the machine-executable instructions for transferring resources between the first user and the second user in the contract. The device is further configured to output the projected number of virtual resources to the first user and to output the projected number of real-world resources to the first user. The device is further configured to initiate a transfer of resources between the first user and the second user.

Abstract: An automated cabinet. The automated cabinet includes an inventory management system. The inventory management system keeps an inventory of a storage cabinet and send and receive electrical communications to and from the storage cabinet. The automated cabinet also includes the storage cabinet. The storage cabinet includes a housing and one or more drawers configured to be slidably stowable within the housing. Each of the one or more drawers includes a series of horizontal dividers and a series of vertical dividers, where each of the vertical dividers is mated with one or more of the horizontal dividers, creating one or more configurable slots within the drawer. The storage cabinet also includes one or more PCBs. Each PCB is in electronic communication with the inventory management system and is connected to a drawer light and one or more slot lights.

Abstract: A computer system for mapping products to taxability categories includes one or more processors configured to execute, in a run-time inference phase, an artificial intelligence model, a taxability category mapping engine, and a taxability category driver record association engine. The artificial intelligence model is configured to receive product text including a product name and product description associated with a product catalog, and output a predicted tax category for a product associated with the product catalog. The taxability category mapping engine is configured to link a taxability driver to the product. The taxability category driver record association engine is configured to create a taxability category mapping drivers record including the taxability driver that is linked to the product. The predicted tax category output from the artificial intelligence model and the taxability category mapping drivers record are stored in a product taxability record.

Abstract: Methods and systems for enabling initialization of a device by a secondary user are described. A request is received, from a first device, to initialize the first device with an online account. A notification is transmitted to one or more administrative user devices associated with at least one administrative user associated with the online account, seeking approval of the request to initialize the first device. A response is received from at least one of the one or more administrative user devices, indicating approval to initialize the first device. A credential is transmitted to enable initialization of the first device with the online account.

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: 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: 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: 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, 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: 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: 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.