Abstract: A parcel cart loading system includes: a conveyor; parcel carts for receiving parcels offloaded from the conveyor; a loading station where parcels are offloaded to the parcel carts; and a vision and control subsystem that is operably connected to a plurality of mobile robots. The vision and control subsystem acquires one or more images of parcel carts within a loading area of the loading station and determines if any of the parcel carts are fully loaded based on the image data. Each parcel cart determined to be fully loaded is autonomously transported out of the loading area and to its intended destination by one of the mobile robots within the system. Each parcel cart transported out of the loading area is replaced by another parcel cart from a queue area of the loading station by another mobile robot of the system.

Abstract: Embodiments relate to the autonomous remediation of IT asset records in accordance with rules-based asset management policies. An IT asset record associated with an IT asset and having a first piece of IT asset information is received and evaluated for compliance in accordance with defined asset management rules. The asset management rules require the IT asset record to include both the first piece and a second piece of IT asset information. In view of the rules, a determination is made that the IT asset record requires remediation. Based on a determination that the IT asset record requires remediation, a decision-tree machine learning model is utilized to infer, based on IT asset information available in the IT asset record, at least the second piece of IT asset information to place the IT asset record in compliance with the asset management rules.

Abstract: Systems and methods described herein provide a cyber risk assessment service. A computing device determines weights for techniques of a cyber security framework based on historical industry impact. The computing device associates an enterprise network with an industry identifier, obtains customer risk data for the enterprise network, and normalizes and/or combines the customer risk data to form normalized risk scores. The computing device maps the customer risk data to corresponding techniques in the cyber security framework, generates technique scores based on the mapping and the normalized risk scores, and generates weighted technique scores using some of the weights selected based on the industry identifier. The computing device calculates an overall security score for the enterprise network based on the weighted technique scores, identifies a corrective recommendation for the overall security score, and provides the overall security score and the corrective recommendation for presentation to a user.

Abstract: Disclosed is a method and a system or assembling a collection of components, in particular a user-specific collection of components used in aviation and astronautics or in the automobile industry or other industries, wherein a collection of multiple components is assembled in a packaging unit or in a tray, and each of the individual components of the collection of components is assigned an identifier which allows the corresponding component to be tracked.

Abstract: A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.

Abstract: A method for recording a custodial chain and identifying anomalies in the chain; said method comprising defining or identifying a first element and assigning a first element identifier to it; associating the first element identifier physically with the first element; defining or identifying at least a second element and assigning a second element identifier to it; associating the second element identifier physically with the second element; aggregating the at least first element and second element physically as an aggregated element and assigning an aggregated element identifier to it; defining an aggregated element record which includes the aggregated element identifier and the at least first element identifier and the at least second element identifier; recording the identifiers as records in a database.

Abstract: Auditing of page profile data on sources is disclosed. Normalized reference location data associated with attributes of an entity location are obtained. Page data from the profile of the entity location on a source is collected. The collected page data is normalized. It is determined whether the page data on the profile of the entity location on the source is valid at least in part by comparing the normalized collected page data against the normalized reference listing data. An audit score is assigned to the profile of the entity location on the source based at least in part on the validity determination. Output is provided based at least in part on the audit.

Abstract: A camera is used to acquire images. Labels are detected in the images. The labels contain a barcode and product information. The product information is analyzed (e.g., by optical character recognition) to obtain a plurality of scan descriptions. Scan descriptions are matched with catalog descriptions to obtain stock keeping units (SKUs). The SKUs are mapped to locations within an environment based on position data of the camera at the time images are acquired.

Abstract: Provided is a display device including a front housing, a display panel, a circuit board, a middle frame, a battery module, and a rear housing; wherein the front housing and the middle frame are connected to form an accommodation space, wherein the display panel and the circuit board are disposed in the accommodation space, a battery accommodation portion is disposed on the circuit board, wherein the battery module is disposed in the battery accommodation portion, and the rear housing covers the circuit board and is snap-fit to the middle frame.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments include receiving an LP problem representing a supply chain planning problem for a supply chain network comprising material buffers and resource buffers, partitioning the supply chain network at a complicating node into at least two supply chains sharing the complicating node, formulating a decomposed subproblem for each of the supply chains, calculating an effective dual based, at least in part, on a mathematical difference of at least two dual values calculated by solving the functional-based decomposed subproblems, and generating a globally-optimal LP solution to the LP problem using subgradient descent with the effective dual.

Abstract: A system for electric-motor driven transportation mechanism for fracturing operations is disclosed. The system includes at least one transportation mechanism to transport blender components for a blender fluid from a first tub that may be a proppant hopper to a second tub that may be a blender tub and that may be associated with a fracturing blender; an electric motor and a control unit associated with the at least one transportation mechanism; and at least one variable frequency drive (VFD) associated with the electric motors for real time control of a speed associated with the at least one transportation mechanism.

Abstract: A system may use sensor data from a facility to generate tentative values associated with an event, such as the identification of an item removed from a shelf of the facility. A confidence value associated with each of the tentative values may be less than a confidence threshold. In response, inquiry data seeking confirmation of a tentative value from an associate is generated and sent to one or more associates in the facility. Responses from the associates are collected to determine a selection of one of the tentative values. The selected tentative value is designated as output data for the system. Thereafter, the output data and the original sensor data are designated as training data, which can then be used to train or update machine learning systems. Subsequent use of the updated machine learning systems can yield more accurate results.

Abstract: A vehicle repair control system includes a sensor generating data signals relating to a vehicle, a communication system, and one or more processors that determine a repair to be performed on the vehicle based on the sensor data signals received over the communication system. The processors examine historic repair data indicative of outlays for previous repairs of other vehicles, and examine the historic repair data to determine fluctuations in the outlays for the previous repairs to determine a projected outlay for the repair to be performed on the vehicle based on the fluctuations. The processors determine a quantity-based reduction in the projected outlay based on a number of repairs performed at a repair facility and communicate a control signal to the repair facility to autonomously direct the repair to be performed on the vehicle responsive to determining the quantity-based reduction to change a state of the vehicle.

Abstract: Systems, methods, and computer-readable media for providing a signaling location beacon are provided. Specifically, a collection location for collecting, by an agent, an item is determined. Also, a physical beacon associated with the pickup location can be identified. Further, an interaction between the physical beacon and the agent can be detected. For example, the interaction can occur based on the physical beacon and the agent being in physical proximity to each other during a process of the agent collecting the item at the collection location. As follows, in response to the interaction, transmission of a sensory signal to the agent can be facilitated to provide perceivable direction information associated with the physical location to the agent. The sensory signal can be specific to the agent based on the interaction between the physical beacon and the agent.

Abstract: A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, weather data and financial data related to locations and dates within the supply chain.

Abstract: A system comprises a network and a message management system. The message management system can apply a predictive model to generate a broadcast event message for transmission over the network to solicit message requests for entry into a bidding process. The bidding process can be associated with an event in the region and a bidding timeframe. The message management system can receive message requests for the event during the bidding timeframe, and select one of the message requests from a selected requestor after the expiration of the bidding timeframe. The message management system can receive an event message from the selected requestor. The message management system can present the event message via the communication service. The event message can be provided at an access point for the Wi-Fi service.

Abstract: Disclosed herein are methods and systems for dynamic portal modulation. A method of dynamic radio frequency identification (RFID) modulation comprises identifying in a structure a plurality of different assets to be loaded or unloaded; wherein each asset of the plurality of different assets is of a known identification and includes a passive RFID tag, and all passive RFID tags of the plurality of different assets are not the same.

Abstract: The present application relates to a shelf interaction method and a shelf. The shelf is provided with at least one image capturing device. The method includes: capturing an image of the shelf through the at least one image capturing device; in response to detecting that a first position on the shelf is changed from presence of a first item of goods to absence of the first item of goods according to the image, identifying a first category of the taken-away first item of goods; in response to that a second goods category associated with the first position is the same as or different from the first category of the taken-away first item of goods, sending first prompt information to indicate that the first item of goods is taken away.

Abstract: A mechanized store uses a mobile device to authenticate the user. Items removed from one or more displays of the mechanized store by the user are tracked and a list of items removed by the user is updated. The list of items removed is linked with an account of the user.

Abstract: New techniques for stowing and rapidly shipping valuables from a variety of retail stores are provided. In some aspects of the invention, a new form of coded shopping bag, configured to covert to a box (a.k.a. a “BagBox”) for on-location holding and/or shipping is provided. Systems and methods for BagBox conversion, stowing and/or shipping via specialized kiosks are provided. Billing methods based on the coding and recorded user preferences are also provided.

Abstract: Systems and methods directed to generating a predicted quality metric are provided. Telemetry data may be received from a from a first group of devices executing first software. A quality metric for the first software may be generated based on the first telemetry data. Telemetry data from a second group of devices may be received, where the second group of devices is different from the first group of devices. Covariates impacting the quality metric based on features included in the first telemetry data and the second telemetry data may be identified, and a coarsened exact matching process may be performed utilizing the identified covariates to generate a predicted quality metric for the first software based on the second group of devices.

Abstract: An online concierge identifies orders to shoppers, allowing shoppers to select orders for fulfillment. The online concierge system may generate batches that include multiple orders, allowing a shopper to select a batch to fulfill multiple orders. As orders are continuously being received, delaying identification of orders to shoppers may allow greater batching of orders. To allow greater opportunities for batching, the online concierge system estimates a benefit for delaying identification of an order by different time intervals and predicts an amount of time to fulfill the order. The online concierge system then delays assigning orders for which there is a threshold benefit for delaying and selects a time interval for delaying identification of the order that does not result in greater than a threshold likelihood of a late fulfillment of the order.

Abstract: A warehouse from which shoppers fulfill orders for an online concierge system maintains an online concierge system-specific portion for which the online concierge system specifies placement of items in regions. To place items in the online concierge system-specific portion, the online concierge system accounts for co-occurrences of different items in orders and measures of similarity between different items. From the co-occurrences of items, the online concierge system generates an affinity graph. The online concierge system also generates a colocation graph based on distances between different regions in the online concierge system-specific portion. Using an optimization function with the affinity graph and the colocation graph, the online concierge system selects regions within the online concierge system-specific portion for different items to minimize an amount of time for shoppers to obtain items in the online concierge-system specific portion.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: A system and method that automatically monitors product use, such as the type and amount of agricultural and/or horticultural product stored in and dispensed from a cartridge over time and/or by geographic location. Monitored data are stored in memory such as a tag on the cartridge and may be transmitted to a server for storage, aggregation, and analysis. The cartridge may be authenticated before being authorized for use for the benefit of a current user in dispensing the product. The cartridge may be refilled after confirmation of authorization codes on the cartridge and refilling equipment tags. The cartridge may be calibrated automatically based on the bulk density or other parameter of the product in the cartridge. Data may be aggregated from a plurality of cartridges automatically. As-applied data from individual cartridges may be used to verify, independent of operator input, treated area coverage and product application rate.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to the sortation of products using a conveyor assembly.

Abstract: In some embodiments, the rendering a financial transaction record in a second format includes converting a tokenized first item of financial transaction information to an account-specific item of financial transaction information using an account identifier associated with the tokenized first item in a registry stored in a secured account data vault. In some embodiments, the system includes a transaction execution module for transmitting in the second format the first item of financial transaction information for payment processing by the first external financial party, wherein the second format includes the financial transaction information using the account identifier associated with the tokenized first item in a registry stored in a secured account data vault, and transmitting in the third format the second item of financial transaction information for payment processing by the second external financial party.

Abstract: A distributed computing system is disclosed that practically applies networked computing technology and machine-readable indicia to support traceability of products from providers to clients, the system comprising a plurality of distributed computers for connection over a network regarding a product identified by machine-readable indicia, for which a record is maintained in memory, and which is distributed through a supply chain that includes the provider, a transporting entity, an aggregation facility, a back haul provider, a distribution facility, and the client. The distributed computers include first, second, third, and fourth computers that cooperate with each other to support compliance with client rules and tracking of the order from the provider to the client through the participants in the supply chain via the machine-readable indicia and associations that are created in the memory to link the product with its passage through the supply chain.

Abstract: Embodiments relate to system for automatically predicting payer response to claims. In an embodiment, the system receives claim data associated with a claim. The system identifies a set of claim features of the claim data, and generates an input vector with at least a portion of the set of claim features. The system applies the input vector to a trained model. A first portion of the neural network is configured to generate an embedding representing the input vector with a lower dimensionality than the input vector. A second portion of the neural network is configured to generate a prediction of whether the claim will be denied based on the embedding. The system provides the prediction for display on a user interface of a user device. The prediction may further include denial reason codes and a response date estimation to indicate if, when, and why a claim will be denied.

Abstract: Provided is a method of managing inventory, the method including receiving location information indicating at least one space location among a plurality of space units and space information corresponding to the location information, calculating a state change amount related to the at least one space location based on at least one of the location information, the space information, and information on a previous space state for each of the plurality of space units, or updating the information on the previous space state for each of the plurality of space units with information on a current space state based on the state change amount. An inventory management apparatus performing the method is provided. A non-transitory computer readable recording medium for performing the method is provided.

Abstract: Systems and methods for integrated retail and ecommerce shopping platforms. A shopping system for selling products including: a shopping facility including a primary product storage area; at least one showroom; at least one delivery location; a transport system for moving products between locations within the primary product storage area, the at least one showroom and the at least one delivery location; an inventory control system; a network server in operational communication with the inventory control system and the transport system, the network server adapted to transmit interactive shopping interface pages over a network; and a customer client device associated with one of the customers adapted to receive and display the interactive shopping interface pages, for selectively displaying product information about the products sold by the shopping system, and receiving customer input regarding the selecting and deselecting of one or more of the products for possible purchase by the customer.

Abstract: Systems, methods, and computer-readable media for providing a signaling location beacon are provided. Specifically, a physical location for transferring a delivery from a delivery person to a customer can be determined. Also, a physical beacon associated with the physical location can be identified. Further, an interaction between the physical beacon and the delivery person can be detected. For example, the interaction can occur based on the physical beacon and the delivery person being in physical proximity to each other. As follows, in response to the interaction, transmission of a sensory signal to the delivery person can be facilitated to provide perceivable direction information associated with the physical location to the delivery person.

Abstract: Example methods and systems are directed to a managed inventory. A database may store information regarding items owned by a user. The information regarding an item may include a quantity owned and one or more triggering events. Based on the occurrence of a triggering event, an order for the item may be placed without user intervention. Data to the database may be provided by one or more sensors. Triggering events may be defined in terms of sensor data. The triggering event may be defined by a user or through machine learning. The order may be placed using a predetermined modality or a dynamically-determined modality based on one or more criteria, such as price, shipping speed, and the urgency of the order.

Abstract: A smart inventory service provider system is provided. The system comprises a network interface configured to communicate data over a network and a processing circuit. The processing circuit comprises one or more processors coupled to non-transitory memory. The processing circuit is configured to receive inventory item data associated with an inventory item from a user mobile device and to associate the inventory item data with a user account in a user inventory database. The processing circuit is further configured to monitor a frequency of usage of the inventory item and to transmit a message to an external computing system soliciting a transaction offer related to the inventory item based on the frequency of usage of the inventory item. The processing circuit is further configured to, upon receiving the transaction offer from the external computing system, transmit the transaction offer to the user mobile device.

Abstract: One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

Abstract: A method and system create, on a portable electronic device, a real-time graphical view of an in-store product display that pinpoints the location of one or more target products on the product display. The graphical view is generated by capturing merchandise display data, such as a video feed of the in-store product display, and processing the data to detect the one or more target products based on predefined product recognition criteria uniquely associated with the respective target products.

Abstract: A system and method for allocation planning comprise a server comprising a processor and memory and configured to calculate a reward for a historical allocation of a product to one or more stores associated with a retailer. Embodiments include simulating what-if scenarios for the historical allocation to identify an allocation having a greater reward than the historical allocation and allocating a quantity of a product for a current allocation to the one or more stores based, at least in part, on a distance calculation of one or more independent variables for the historical allocation and the current allocation and the identified allocation having the greater reward then the historical allocation.

Abstract: A system and method are disclosed including a computer and a processor and memory. The computer receives option constraint limiting values of a second option parameter based on a value for a first option parameter, wherein the first option parameter and the second option parameter comprise mix rates for options for a configuration. The computer further generates an interactive element for setting values of the first option parameter and an interactive element for setting the value for the second option parameter and displays the one or more interactive elements. The computer still further, in response to a value being set for the first option parameter, calculates limits for the values of the second option parameters and prevents the interactive element for setting the value for the second option parameter to be set to values outside of the calculated limits.

Abstract: The invention includes a Microprocessor Control Center for controlling an Electric Vehicle Charging Station, and methods thereof, which include a load center for aggregating a charging load from a renewable energy source, a battery stored energy source, and electricity taken directly from the transmission grid when the battery storage depleted. The objective of the system is to maximize the use of the renewable energy source which is used directly and at first priority. The use of an energy storage system prevents local brown-outs which can occur when large amounts of electricity is quickly removed from the grid. The energy storage system is recharged from the grid off-peak when rates and house-hold usage are lowest. In a preferred embodiment, the renewable source is solar power, in other embodiments the renewable source can be wind, tidal and biomass. The solar panels are located on the weather canopy roof at petroleum retail fueling sites.

Abstract: A camera acquires an image of an item involved in an interaction, such as the item being picked or placed on a shelf by a user. The item depicted in the image is identified via item recognition using a customized neural network that uses previously trained subnetworks for a set of candidate items. The candidate items are determined based on items near a user location, items associated with a user cart, items in a shopping list or wish list associated with the user, or items otherwise associated with the user. Each previously trained subnetwork for a candidate item includes one or more reference images and corresponding reference feature data. The customized neural network uses a matching and inference network to test the image against the candidate items and provide comparison data indicative of a similarity between the item depicted in the image and one of the candidate items.

Abstract: The embodiments of the present disclosure provide systems and methods for call deflection, comprising receiving, via a telephone communication from a mobile device of a user, a request for return or exchange, accessing a purchase history of the user to identify at least one order satisfying a predetermined return criteria, generating a unique hyperlink for the user, sending the unique hyperlink to the mobile device of the user, receiving, from the mobile device of the user, a selection of at least one product in the at least one order for return or exchange, and modifying a database to register the at least one product for return or exchange. The unique hyperlink may be assigned to the at least one order that satisfies the predetermined return criteria such that, when activated by the user, the mobile device is configured to display the at least one order.

Abstract: In various embodiments, a data processing consent capture system may be configured to prompt the data subject to consent to one or more types of data processing (e.g., to provide a desired consent) in response to identifying particular cookies (e.g., or types of data processing) that a data subject has not consented to. The system may, for example, substantially automatically prompt the data subject to consent for one or more particular types of data processing in response to determining that the user (e.g., data subject) has requested that a website or other system perform one or more functions that are not possible without a particular type of consent from the data subject. The system may, for example, prompt the user to consent in time for a certain interaction with the website, application, etc.

Abstract: This disclosure is directed to, in part, a processing pipeline for detecting predefined activity using image data, identifying an item-of-interest and a location of the item-of-interest across frames of the image data, determining a trajectory of the item-of-interest, and determining an identifier of the item-of-interest and an action taken with respect to the item-of-interest. The processing pipeline may utilize one or more trained classifiers and, in some instances, additional data to identify items that are placed into or removed from a tote (e.g., basket, cart, or other receptacle) by users in material handling facilities as the users move around the material handling facilities.

Abstract: There is provided a control system that manages running of an automatic driving home delivery locker going around in a specified region by automatic driving. The control system includes a communication unit that receives notification showing that the automatic driving home delivery locker has received a home delivery article, and a control unit that makes control such that an inquiry is made to a terminal device of a consignee of the home delivery article via the communication unit in accordance with reception of the notification so as to estimate a current position of the consignee, and when the consignee is in the specified region, a new running path on which the automatic driving home delivery locker travels a vicinity of the current position of the consignee or a sending destination of the home delivery article is generated and is transmitted to the automatic driving home delivery locker via the communication unit.

Abstract: At least one embodiment is directed to a computer-implemented method for using machine vision to categorize a locality to conduct product positioning analyses, the method including: generating locality profile scores for each locality of a plurality of localities using deep learning networks, where the locality profile score includes distributions of entity classes within the locality; extracting a set of entities having the same entity class from a group of localities; retrieving historical purchasing data for the entity set; and generating a sequence of products likely to be purchased by a target entity as a function of: the similarity of purchasing characteristics of the target entity with respect to other entities, product sequences found in product purchase of other entities, and entity profile weights extracted from the locality profile scores of other entities that have purchased one or more of the same products as the target entity.

Abstract: Apparatuses and methods are provided herein useful in retail store inventory storage and retrieval. Some embodiments provide systems, comprising: a rack system positioned above a dropdown ceiling and extending over the sales floor, and comprising: a plurality of racks, a rail system and the plurality of access passages; a plurality of unmanned vehicles; a plurality of access stations, wherein the access stations physically cooperate with one of the access passages; each rack comprises storage cells to receive a reusable tote; and wherein the central control circuit is configured to receive a request for a first product, identify a first access station, access the inventory tracking system to identify a first storage cell in which the first product is stored, identify an available unmanned vehicle, and communicate to the unmanned vehicle directing the unmanned vehicle to retrieve the tote and transport the tote to the first access station.

Abstract: A system includes computer-readable media having memory, one or more processors, and instructions in the memory that, when executed by the one or more processors, cause the processor(s) to: generate an archive container, a cooked container, an ingest container, and an index container; receive, in the ingest container, a plurality of time series data elements; identify a data format for each of the time series data elements; divide the plurality of time series data elements into a plurality of data sub-elements based on a corresponding append binary large objects (blobs) contained in the cooked container; generate, statistical data for the plurality of time series data elements for each of one or more index blobs contained in the index container; and output: the statistical data to the index container; the plurality of data sub-elements to the cooked container, and the plurality of time series data elements to the archive container.

Abstract: A method and system for automatically forming and handling compound pallet units including a pallet and a plurality of products stacked on the pallet. The method includes the steps of providing a conveyor device, at least one loading area provided for automatically receiving empty pallets and temporarily hosting compound pallet units to be transferred to a main conveyor, and at least one manipulator robot configured for picking selected products and placing the products on a pallet stationing at said loading station.

Abstract: Response parameters for a population of RFID tags present in an inventory space are determined by (a) continuously scanning the inventory space to interrogate the population of RFID tags in the inventory space and receiving responses from multiple RFID tags within the population, (b) after multiple responses have been received from a specific RFID tag within the population, determining response times for the specific RFID tag corresponding to time periods between sequential ones of the multiple responses from the specific RFID tag, (c) calculating a maximum acceptable response time based at least in part on the response times determined in step (b), and (d) recording a response interval data set including one or more of the response times determined in step (b) and the maximum acceptable response time calculated in step (c).

Abstract: A fully automated supply chain, in combination with tracking technology and the unified commerce engine (UCE) enables the exact location of every item (or each) to be tracked from the manufacturer's facility to a customer's bag. Eaches are tracked using the UCE as they move within and between one or more regional distribution centers and a market distribution center.