Abstract: Systems and methods for forward market renewable energy credit prediction from business entity behavior data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market. The example system may include wherein the forecast is based at least in part on a business entity behavior collected from at least one business entity behavioral data source, and wherein the energy credit comprises a renewable energy credit associated a renewable energy system. The example system may further include a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price.

Abstract: Systems and methods for machine forward energy and energy credit purchase are disclosed. An example transaction-enabling system may include a machine having an energy requirement for a task and a controller. The controller may include a resource requirement circuit to determine an amount of an energy resource for the machine to service the energy requirement, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute a transaction of on the forward resource market in response to the determined amount of the energy resource.

Abstract: Systems and methods provide a demand forecasting and network optimization for telecommunications services in a network. The systems and methods use classical and quantum computing devices. The computing devices evaluate data types using statistical symmetry recognition and operate between classical and quantum environments. Computing devices receive deposited data, batch data, and streamed data that relates to telecommunications services and segregate the data into spatial and temporal factors. The computing devices receive an analytic request for a forecast of the telecommunications services and conduct a multi-class plural-factored elastic cluster (MPEC) analysis for the telecommunications services using the segregated data. The MPEC analysis includes generating vectors comprised of slopes from plural coefficients to determine demand elasticity from plural features.

Abstract: Disclosed are systems and methods for identifying an available product for an unavailable product to minimize a deviation or distance from an original planned pick path. A computer can transmit instructions corresponding to a path through a location where products are stored to collect a plurality of products stored at locations along the path. In response to receiving a notification for a particular product that the particular product is not at the location where it is stored, the computer can modify the path to include a location of a substitute product for the particular product. The computer can identify a substitute product for the particular product based on a distance from a location of the one more available products to a location along the path and determine a revised path with the substitute product. The path can be revised to include the location for the available product.

Abstract: A configuration server is provided including one or more processors and a workflow generator executing on the one or more processors. The workflow generator is configured to generate a workflow corresponding to a feature of a service. The configuration server also includes a client user interface configured to receive requests from a client user to enable or disable the feature of the service. A service director is configured to control deployment of the feature of the service by placing the workflow corresponding to the feature in an active state or an inactive state responsive to client requests. Responsive to a determination that the workflow is in the active state, the service director communicates the workflow to a deployment server. The feature associated with the workflow is available to an end user accessing the service when the workflow is communicated to the deployment server.

Abstract: The invention relates to a system for the management of service suppliers for customers or clients of an apartment or condo association. The system utilizes a software system to select the most appropriate service provider and provides automated lock management access control.

Abstract: The present disclosure is related to computing devices, systems, and methods for a new task-engine system that connects to a variety of task-interaction providers, enabling a user to use any one of multiple task-interaction providers to create and complete tasks within a workflow. That is, the connection to a variety of task-interaction providers allows a user to interact with the workflow through any of the task-interaction providers and create and/or complete any number of tasks in the workflow. The task-engine system may also update the creation and/or completion of a workflow task in all other task-interaction providers, such that all users may be aware of, or notified of, the current state of the workflow through any of the task-interaction providers.

Abstract: A system for incremental solution of the shift design and assignment problem comprises an interface configured to receive an incremental change and an existing schedule. The system comprises a processor to determine whether labor demand has changed; in response to labor demand having been changed, generate an updated set of shift candidates; determine a new cost function; restart a solver using the updated set of shift candidates, the existing schedule, the incremental change, and the new cost function, wherein the solver comprises a mixed integer programming (MIP) solver, and wherein the MIP solver determines simultaneously a subset of the shift candidates selected in the final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of shift candidates.

Abstract: A method for automatically generating, in real-time, for display on a display, a simplified network layout from an initial network layout including one or more lines each connecting a plurality of nodes. Graph information is provided indicating vertices representing geographic positions of the nodes and edges representing connections between the nodes. The nodes are repositioned to optimize an objective function based on readability of the simplified network layout. Nodes and edges are discretized using interpolation to align a plurality of the nodes and connect the aligned nodes using simplified k-linear segments, where k-linear segments are parallel to one of k equidistant orientations whose angles are multiples of 180/k degrees, with k larger or equal to two. The simplified network layout is provided for a display.

Abstract: Embodiments relate to a system and method for event planning and management. The method comprises: receiving details of the customer; receiving an enquiry for one or more event venues, rooms, and services; receiving details of vendors, from a database of vendors; generating recommendations of one or more event venues, rooms, and services from the database of vendors based on the enquiry for one or more event venues, rooms, and services; displaying a real-time inventory of the recommendations of one or more event venues, rooms, and services; receiving a selection of one or more event venues, rooms, and services; and generating a booking of the selection of one or more event venues, rooms, and services, for executing an event. The booking generated includes the event as well as the services to execute the event.

Abstract: A system, method and computer readable medium for generating and maintaining a resource deployment map for a project over a communications network includes a database for storing the resource deployment map including a set of tasks, dependencies between tasks, a predefined period of time required for completing each task, a set of resources, and assignments of the set of resources to the tasks, a web server for receiving project change information including a modified set of resources, and time delays in the tasks, identifying integration points in the resource deployment map, wherein an integration point comprises tasks, assigning the modified set of resources to the tasks as follows: assign all resources necessary for a first integration point, assign all remaining resources necessary for a next integration point, repeat the previous step until all resources are assigned, and generating a revised resource deployment map based on the modified set of resources, and time delays.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for utilizing machine learning to calculate product replacement cycle times and predict resource transfers associated with said product replacements. As such, the system allows for receipt of resource transfer datasets which are processed along with historical datasets via a machine learning engine. The system may then identify data trends and generate predictions of future resource transfers associated with product or service lifecycles. Furthermore, the system may also identify potential merchants or other third-party systems which may be associated with the predicted future transfers.

Abstract: The disclosed embodiments include product picking systems and methods to pick products. In one embodiment, the system includes a work order module configured to receive a work order to obtain at least one product, obtain a virtual stack of the at least one product based on the work order, the virtual stack being a 3D representation of the at least one product, and determine a set of business rules for selecting each product of the at least one product. The system also includes a vision module configured to identify a first product of the at least one product. The system further includes a processor configured to determine whether the first product satisfies business rules for selecting the first product is satisfied, and configured to operate a robotic arm to select the first product and to arrange the first product to form a physical stack corresponding to the virtual stack.

Abstract: A system and method are disclosed for searching alternate inventory policies from an initial inventory policy of an inventory of one or more supply chain entities to a target inventory policy by receiving a current state of items in a supply chain network determining an initial inventory policy comprising a reorder point and a target quantity, identifying one or more provisional inventory policies calculating a cost, a fill rate, and a no-stockout probability, and transporting items among the one or more supply chain entities to restock the inventory.

Abstract: A reminder system is provided. The system provides a user-friendly interface to a user's existing email, and in some embodiments to the user's document management, calendar and other systems, in order to ensure that an appropriate user is notified when action should be taken, and also provides notation to the user indicating the appropriate course of action to be taken. The system provides a calendaring feature where a supervisor or manager can determine the workload of a group of workers for an upcoming time period. The system provides an easily accessible and traceable database of information pertaining to a project checklist, document, a client name, a client matter number, a document type, or other customizable fields in order for a user to search and sort the information for their own use.

Abstract: A method and system for analyzing and connecting computer-based actions into sentences may include for a series of computer-based actions, determining the case ID for the action for each action where an identifier or case ID can be determined, creating sequences of subsets of the series of computer-based actions using the case ID, and merging sequences having computer-based actions having the same case ID. A set of case IDs may be extracted from the actions using a clustering algorithm based on features of potential case IDs such as gaps in appearance of potential case IDs in a sequence of actions and consecutive appearances of potential case IDs in a sequence of actions. The extracted case IDs may be used when creating sequences.

Abstract: An online concierge system generates a suggested picking sequence to reduce the amount of time for a shopper to fulfill an online order of items from a warehouse. The online concierge system determines an average amount of time to sequentially pick items between different aisle pairs for a warehouse based on timestamps from item fulfillment in historical orders. The system generates a distance graph including aisle nodes connected by edges representing the pairwise distance between aisles. The system solves a traveling salesperson problem to generate a ranked order of aisle nodes for each of the historical orders. The system generates a ranked global sequence of aisle nodes based on the plurality of ranked orders of aisle nodes. The system applies the ranked global sequence to new delivery orders to generate the suggested picking sequence for a shopper.

Abstract: Machine learning-based approaches are used to detect trends of behavior and anomalous events from customer support messages between customers and customer support agents or other appropriate resources in an electronic environment. For example, for a plurality of time periods, a prediction model can be trained. The prediction models can be trained on messages that correspond to each prediction models' period of time. The prediction models can process messages to determine a score (e.g., a representative confidence score) for the time period a prediction model is associated with. For a selected time period, a model (e.g., a trend detection model) can be applied to the scores for time periods before the selected time period to determine whether the score for the selected time period is associated with an anomalous event. Thereafter, an alert can be presented with, for example, the messages that triggered the alert, among other such information.

Abstract: Disclosed are various approaches for workflow service application stating. In some aspects, an application content request is transmitted to a workflow service. The application content request can request updated states from a network service that acts as a back end for the application. The application content can be provided to the client device or other installed applications, without having opened the application on a client device.

Abstract: A method can include receiving state information for a wellsite system; receiving contextual information for a role associated with a workflow; generating a natural language report based at least in part on the state information and based at least in part on the contextual information; and transmitting the natural language report via a network interface based at least in part on an identifier associated with the role.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for programmatically prioritizing a data processing queue are provided. An example method may include retrieving a plurality of data objects in the data processing queue, generating a base data table based at least in part on the plurality of data objects, determining a predictive data model based at least in part on the base data table, and adjusting a queue order of the plurality of data objects in the data processing queue based at least in part on a risk score calculated by the predictive data model.

Abstract: An event at a location is identified. An event risk of the event can be calculated based on risk characteristics of both the location of the event (“location risk characteristics”) and the event itself (“personnel risk characteristics”). Location risk characteristics can include a visitor history of the location. Personnel risk characteristics can be based on attendees of the event, such as a number of attendees. The overall event risk, once calculated, can be compared to a threshold. Depending on the comparison, a risk mitigation policy can be implemented.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.

Abstract: Systems and methods are described for a three-tiered artificial intelligence architecture that synchronizes processing statement deployment across diverse computer networks. The system may receive, at a user interface, a first request for a first recommendation. The first recommendation includes a set of standardized processing statements for implementing on a function. The system may input the first request into a first network component. The first network component includes first, second, and third models. The first model is trained to generate a library of standardized processing statements. The second model is trained to generate a plurality of standardized processing characteristic values for each standardized processing statement in the library. The third model is trained to generate recommendations of sets of standardized processing statements to functions. The system receives an output from the first network component and generates for display the first recommendation based on the output.

Abstract: Predicting end-of-life support deprecation is described. A system receives an identification of a product, and then identifies support request records associated with the product. The system identifies support information associated with the support request records. A predictive model uses the support information to predict a deprecation for the product. The system outputs the prediction of the deprecation for the product.

Abstract: A system including broker node device is provided. The broker node device collects operation information associated with first plurality of nodes of first MaaS network. The broker node device determines operational trouble associated with the first plurality of nodes, based on the operation information and receives, from first publisher node of the first plurality of nodes, first transaction message associated with first transaction of first transportation service of the first MaaS network. The first transaction message includes first correlation identifier generated by first publisher node. The broker node device receives, from second node of the first plurality of nodes, first notification associated with receipt of first transaction message at second node. The broker node device determines cause for failure of first transaction based on the first correlation identifier, the first notification, or the operational trouble, and further controls display device to display the cause for failure.

Abstract: A system and related method are provided to receive user streaming interaction data (USID) and determine a context of the interaction. Processed stream data is stored, and emotion information (EI) is created by analyzing the processed stream data, producing an EI-tagged interaction record. An overall first EI value (EIV) reflects a value of an EI at a first time, and an overall second EIV reflects a value of an EI at a second time. Indicators related to the EIs are provided on a device of a service representative (SR). When the second EIV is more negative than the first EIV, the system communicates a recommended action to the service representative that is dependent upon on the context of the interaction and the EI.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program identifies a set of visualizations associated with the user. The program further determines, for each visualization in the set of visualizations, a score associated with changes in the visualization. The program also determines a subset of the set of visualizations based on the set of scores. The program further provides to the user notifications associated with the subset of the set of visualizations.

Abstract: In an example embodiment, machine learning is utilized to automatically identify pain points of an entity. More particularly, a random forest search algorithm receives inputs from a number of different outside-in data engines. These inputs are segregated in terms of key performance indexes (KPIs), which is then fed to a random forest decision tree. The random forest search algorithm calculates a p-value for each KPI. This p-value may then be used to identify the most relevant KPIs (such as by ranking the KPIs by their respective p-values). Rules are utilized not to identify the pain points themselves, but instead to define sorting preferences (refine the ranking). Based on a combination of the p-values and the evaluation of the rules, the top-N pain points may be identified.

Abstract: Automatic evaluation of recorded interactions is disclosed, including: detecting a plurality of signals in an interaction; combining at least a subset of the plurality of signals using a prescribed set of operators into a combined signal; and determining whether an event criterion has been met with respect to the interaction based at least in part on the combined signal.

Abstract: A plant operation support system supports an operation of a plant. The plant operation support system includes a fluctuation prediction device configured to predict a fluctuation of an element which is input to the plant, and a simulation device configured to simulate a behavior of the plant using a fluctuation of the element predicted by the fluctuation prediction device and data which is obtained from the plant.

Abstract: A system and a method for controlling logistics transportation includes a control server to transmit position information of a trailer to an autonomous tractor, and a trailer managing device to receive information on an identification of the autonomous tractor from the control server and to open a door of a warehouse corresponding to the position information of the trailer, when information on an identification of an autonomous tractor, which is extracted from a surrounding image of the warehouse corresponding to the position information of the trailer is matched with the received information on the identification of the autonomous tractor.

Abstract: A secure transport case having multiple compartments protects consumables from interference during delivery between a restaurant and a consumer. Multiple compartments provide temperature smart technology to maintain a desired temperature of the consumables during transit. A locking mechanism of the transport case is kept locked during transit and is unlocked by a secret key by the consumer. A mobile application is provided to a user to place an order, monitor the status of the secure transport case, the order itself, and to receive the secret code to unlock the secure transport case upon delivery.

Abstract: A device for use in conjunction with a parcel receptacle apparatus in an automated secured package delivery system. When an item is delivered to a purchaser of the item, a simultaneous confirmation of the delivery and the status of the item is sent to each of the purchaser and a shipper of the item over a network, and immediately informs both a purchaser and shipper of situations where delivery items are placed which are too large to be accommodated within the parcel receptacle apparatus.

Abstract: Aspects of the disclosure relate to return logistics. A computing platform may process a first request, resulting in first information indicating a first transfer of resources from a buyer of an item to a seller. The computing platform may record, in a distributed ledger, the first information. The computing platform may receive a second request corresponding to another sale of the item, and may process the second request, which may result in second information indicating a second transfer of resources from another buyer to the seller. The computing platform may record, in the distributed ledger, the second information, and may cause the item to be sent from the buyer to the other buyer. The computing platform may identify, using the distributed ledger, that the item has been received by the other buyer, and may cause a third transfer of resources from the seller to the buyer.

Abstract: Systems and methods for creating a data mapping to be used in a subsequent inventorying process to locate objects within an area. The methods comprise: identifying, by a robot, at least one first marker disposed within the area which should be re-programed; autonomously transforming, by the robot, a first programmed state of the at least one first marker to a second programmed state; and autonomously creating, by the robot, the data mapping specifying a current physical location of the at least one first marker which was re-programed and current physical locations of second markers also disposed within the area.

Abstract: Aspects of the present disclosure provide techniques to synchronize a wireless device and a server in an RFID inventory management system. The device may detect a one or more signals from an electronic product code (EPC) tag. The device may generate an EPC tag data set based on the one or more signals. The device may update a local tag state database based on the EPC tag data set. The device may determine, based on a configuration profile of a server, a subset of the tag data set for transmission to the server. The device may wirelessly transmit the subset of the tag data set. The server may update a master product state database based on the received subset of the tag data set. The server may determine an update for the second wireless device based on the master product state database and a configuration profile of the second device.

Abstract: An online concierge system receives an order from a customer. The online concierge system transmits a notification to the customer's client device indicating that the order is ready for pick up and receives location data from the customer's client device as the customer travels to a pickup location. In response to the online concierge system receiving a first indication that the customer has entered an outer geofence, the online concierge system transmits a second notification to a runner's client device that the customer is in transit. In response to the online concierge system receiving a second indication that the customer has entered an inner geofence, the online concierge system starts a timer. When the online system receives a confirmation that the order has been picked up by the customer, it stops the timer and computes a wait time for pick up of the order.

Abstract: An intelligent marketing and advertising platform which provides an innovative merchandising solution for retailers by effectively transforming the glass surface of retail product containers (such as cooler doors) into a non-transparent display of planograms. The merchandising solution provides for digital planograms and pricing management, real time promotional updates and sales data, etc. This is accomplished by converting/transforming the simple glass surface of a retail product container (such as cooler/freezer doors) into digital “smart” screens that provide for innovative advertising solutions. The cooler/freezer doors are configured to use at least one camera to capture images when the doors are opened, in order to effectively take inventory of what is inside the cooler/freezer.

Abstract: Methods, apparatuses, and systems associated with inventory management are described. Examples can include receiving at a processor first signaling from a first sensor device configured to monitor the interior of a first enclosure and receiving at the processor second signaling from a second sensor device configured to monitor the interior of a second enclosure. Examples can include writing from the processor to a storage device coupled to the processor data that is based at least in part on a combination of the first and second signaling, identifying a quantity or amount of at least one item in the first enclosure and at least one item in the second enclosure, and transmitting third signaling when the quantity or amount of the at least one item in the first enclosure or the at least one item in the second enclosure is less than a threshold value.

Abstract: An out-of-stock detection system notifies store management that a product is out of stock. The system captures images of a shelf and determines the position product labels thereon. For each product label, a bounding box is generated based on the position of each product label on the shelf. The system then identifies a product for each product label based on information within each product label and, for each product label, stores a product identified for each bounding box. Accordingly, the system performs an out-of-stock detection process that includes capturing additional image data of the shelf periodically that includes each bounding box, providing a portion of the additional image data for each bounding box to a model trained to determine whether the bounding box contains products, sending a notification for a product determined to be out of stock to a store client device based on output from the model.

Abstract: Systems and method are provided for managing inventory by determining grading returned products. One method includes, generating a hierarchical model based on the return product identifier, the hierarchical model comprising a plurality of data structures; and generating an agent configured to traverse the plurality of data structures of the hierarchical model. The method may further include determining a price of the product based on a product condition; modifying the database to assign the price to the return product identifier; transmitting a notification, to the user device, to resell the product at the determined price; and providing, for presentation via the user device, a user interface that includes the notification.

Abstract: Systems and method are provided for managing inventory by determining product prices based on product characteristics. One method includes, based on a condition of the product and an age of the product, determining a new price of a returned product and modifying the database to assign the new price to the product identifier. Based on a determination that the product is not a returned product from a customer: calculating an inventory rate associated with the product; based on the calculated inventory rate, determining a new price of the product; and modifying the database to assign, to the product identifier, the inventory rate and the new price.

Abstract: Systems and methods to manage surge network traffic to an electronic commerce platform are described. The platform provider generates a static package that is placed in networked storage that is accessible through a web service interface. The package contains the information required to instantiate and render the interface of the service-hosting platform using the processor and resources of the computer that accesses the package via a browser. Based on the contents of the package, the rendered interface presents the services of the service-hosting platform using resources of the customer's computer without making any calls to a server to query a protected backend system. The inventory may be refreshed from time-to-time without causing traffic directed at the service-hosting platform. Access to the protected backend resources and platform resources is gated by threshold actions taken by the user.

Abstract: Media, methods, and systems are disclosed for generating a document from a workflow within a group-based communication system. A document may be created from a document template in response to a workflow trigger. The document may have a plurality of structured sections and a plurality of unstructured sections. Unstructured input may be received into an unstructured section and saved into the document. Structured input may be received into a structured section. Based on the structured input, a step of a workflow associated with the document may be performed and a result saved into the document.

Abstract: Systems and methods for generating units of work in a collaboration environment are disclosed. Exemplary implementations may: manage environment state information including work units records describing units of work assigned to individual users within the collaboration environment, individual sets of work unit records being defined by a record hierarchy, individual units of work including one or more digital content items; obtain user input information conveying user input on, or relating to, individual digital content items of the individual units of work; generate one or more work unit records based on the user input information, such that responsive to the user input information conveying first user input by a first user on, or relating to, a first digital content item, generate a second work unit record describing a second unit of work, the second work unit record being subordinate to a first work unit record; and/or perform other operations.

Abstract: Bridging different standards or requirements documents originating from different participants in a drilling project to unify the standards or requirements provides more efficiencies and cost savings for the drilling project. The standards or requirements may be automatically analyzed to determine which standards or requirements from the participants are to be utilized for a given drilling project to generate a common bridged document of requirements and standards thereby aiding to reduce costs and establish a common understanding of the requirements and standards that are to be met or implemented during the drilling project by all participants. The automatic process may select those standards or requirements, or portions thereof that are more stringent.

Abstract: A task multi-assignment method using a tier data structure of a crowdsourcing-based project, the method being a task assignment method using a tier data structure of a crowdsourcing-based project of a multi-assignment method of duplicately assigning each task to a plurality of n different workers, includes: configuring an assignment tier storage including a queue into which task data corresponding to a task that is not assigned to the worker is enqueued, and one or more jth stacks into which task data corresponding to tasks that are each assigned j times (wherein j is a natural number less than n) are pushed; and assigning a task of the project to a worker (hereinafter, referred to as a target worker) who requests task assignment and requesting the target worker to perform the task, by using the assignment tier storage.

Abstract: Identifying relationships between healthcare practitioners and healthcare facilities based on billed claims. A method includes assessing facility claims billed by a facility over a time period to identify a practitioner that performed a procedure at the facility within the time period and assessing carrier claims billed by the practitioner over the time period to identify all facilities in which the practitioner performed a procedure within the time period. The method includes calculating a total quantity of the facility claims billed over the time period that indicate a procedure was performed at the facility and a total quantity of the carrier claims billed by the practitioner over the time period that indicate the practitioner performed a procedure.

Abstract: A system and a method for identifying and ranking agents are disclosed herein. The system includes an analytics engine which retrieves information from external and internal databases. The analytics engine uses the information retrieved from these databases, in addition to one or more success factors or key attributes, to identify and rank prospective agents. The analytics engine can also match one or more prospective agents with a general agent and provide ranking and performance assessment reports for evaluating and following up on the agent’s career development.