Abstract: A server device for generating and outputting work management information of at least one carrier. The server device comprises a storage device for storing a program for generating work management information, and a controller for reading the program from the storage device and generating work management information by executing the program. The controller performs: a process of acquiring position information about at least one carrier; a process of generating, based on the position information, work type information indicating whether the carrier is performing a predetermined work or moving; a process of calculating a required time for each work type information item of the carrier; a process of comparing the required time for each work type information item and extracting a work element with low work efficiency based on a first rule concerning required time; and a process of outputting the extracted work element with low work efficiency.

Abstract: Embodiments provide a computer-executable method, computer system and non-transitory computer-readable medium for programmatically generating an association among two or more purchase categories based on purchase data of a plurality of consumers. The method includes programmatically accessing, from a dataset via a network device, prior purchase data associated with purchases of a plurality of commercial objects by a plurality of consumers. The method also includes programmatically identifying a plurality of categories associated with the plurality of commercial objects. The method also includes, for each consumer in the plurality of consumers, programmatically generating a total number of purchases by the consumer in each category in the plurality of categories.

Abstract: The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

Abstract: A workflow management system for managing the storage, retrieval, and transport of items in a warehouse includes a voice-directed mobile terminal. The system also includes a server computer in communication with the voice-directed mobile terminal. The server computer includes a tasking module for transmitting task data to the voice-directed mobile terminal. The server computer also includes a workflow-analysis module for generating, based at least in part upon an analysis of workflow dialog between the voice-directed mobile terminal and the user, performance data relating to the performance of tasks associated with the storage, retrieval, and/or transport of the items.

Abstract: A computer-implemented method of scheduling jobs for an industrial process includes receiving jobs to be executed on machines within a manufacturing facility. A job schedule is generated based on an optimization function that minimizes total energy cost for all the machines during a time horizon based on a summation of energy cost at each time step between a start time and an end time. The energy cost at each time step is a summation of (a) a first energy cost associated with each machine in sleeping mode during the time step, (b) a second energy cost associated with each machine in stand-by mode during the time step, and (c) a third energy cost associated with each machine in processing mode during the time step. The jobs are executed on the machines based on the job schedule.

Abstract: Input data comprises a particular quantity of one or more finished goods to be produced over a time period. Software is programmed for: accessing infrastructure data that defines an infrastructure of a particular production facility; generating one or more sequence-dependent production plans comprising a particular sequence of one or more production process steps; calculating one or more optimized production plans for the time period by: determining a sub-period optimization plan for a first sub-period by adjusting one or more of a plurality of binary variables; generating a neighborhood optimization plan by adjusting one or more of the plurality of binary variables for a predefined neighborhood; and generating a particular optimized production plan for the time period by adjusting one or more of the plurality of binary variables; filtering the one or more optimized production plans based on one or more filtering criteria; and outputting the optimized production plans for display.

Abstract: Apparatus and associated methods relate to dynamically managing quality of a sample in a public display space. In an illustrative example, a sample quality profile (SQP) may be generated in response to a sample update signal. The sample update signal may, for example, originate from a physical product display location. The sample update signal may, for example include data from a sensor(s) configured to detect a physical attribute(s) corresponding to the sample. The SQP may, for example, correlate the at least one physical attribute with at least one sample quality metric(s) (SQM). A predetermined minimum quality criterion(s) (MQC) corresponding to the product, sample, and/or showcase may, for example, be retrieved and compared to the SQM. If the SQM does not meet the MQC, then a sample request signal may, for example, be generated. Various embodiments may, for example, advantageously maintain an attractive product sample for display to potential customers.

Abstract: A blockchain based supply chain network is provided. The network provides a supply chain monitoring system and marketplace including (a) raw materials, textile, and apparel sourcing marketplace, including services and capabilities, and textile, trim, components, accessories; (b) tracking system for engagement, environmental and social labor performance; (c) marketplace and transactional layer with an embedded blockchain platform that helps create trust between participants of the supply chain. The supply chain monitoring system and marketplace can provide a level of transparency and traceability fin the apparel market that has not been seen before in conventional supply chain systems.

Abstract: Systems and method for managing human interactions is described. An integrated system may receive dataset from multiple disparate sources. The received dataset may be processed by corresponding data processing engines and transformed into textual dataset by respective adapters in the integrated system. The textual dataset may be further processed and transformed into unified dataset by components in integrated system. For instance, such processing may include analysis based on comprehension, context of the interaction, etc. Based on further analysis, the unified dataset may be classified and highlighted into items that may correspond to action items, follow ups, questions or any other important information, insights provided or regenerated based on an analysis from the human interactions. Further insights provided based on the analysis may correspond to outcomes in response to the processing and analysis by the components in integrated system.

Abstract: A system and method schedule work within a workflow with defined process goals. A plurality of work queues are defined that comprise work items. The plurality of work queues are associated with one or more links between a parent work queue and at least one child work queue to form at least one work process. At least one work process goal is defined for each work process. A work schedule to achieve the work process goals is generated.

Abstract: A system comprises one or more modules to access a business rule, deconstruct the business rule into a condition and an associated action, determine a set of questions relevant to the condition, place the set of questions into a question queue, order the question queue, and present the question queue to a user. A system comprises one or more modules to determine a subject of the request received from a user, use the subject to obtain a set of relevant questions, examine each question and determine whether an answer to a current question is available in a storage area, and present the current question when the answer is not available. A system comprises one or more modules to access a decision tree, determine a current node, determine an estimated number of nodes between the current node and a leaf node, and present a representation using the estimated number of nodes.

Abstract: Techniques are provided for the optimal matching of teachers to students using machine learning models and analysis engines (MLMAEs). In an embodiment, historical and biographical teacher and student data is collected through a data ingestion layer. As the data is ingested, a process is spawned that automatically builds MLMAEs using a plurality of algorithms. The MLMAEs are automatically tested for accuracy, and the MLMAE with the highest level of accuracy is promoted as the winner. Students enter information through a user interface to request optimal teachers for a subject area, and this information is run against the winning MLMAE which returns a list of optimal teachers. Also provided are techniques for teachers to enter their availability, techniques for MLMAE creators to seamlessly test prospective new MLMAEs, and techniques for teachers to understand why they are not matches for specific segments of students and to receive associated professional development resources.

Abstract: A system and method schedule work within a workflow with defined process goals. A plurality of work queues are defined that comprise work items. The plurality of work queues are associated with one or more links between a parent work queue and at least one child work queue to form at least one work process. At least one work process goal is defined for each work process. A work schedule to achieve the work process goals is generated.

Abstract: An occupancy tracking device configured to receive an occupancy status request from a user device that includes a location identifier for a first physical location. The device is further configured to identify a local management system that is associated with the first physical location. The device is further configured to receive one or more images of an interior space of the first physical location in response to sending an occupancy information request. The device is further configured to determine a current occupancy level for the first physical location based at least in part on the number of people present in the images of the first physical location. The device is further configured to determine an occupancy status for the first physical location based on a comparison between the current occupancy level and an occupancy threshold value and to send the occupancy status to the user device.

Abstract: An occupancy sensing based system for custodial service management is disclosed that allows schedule custodial services based on actual usage of a site, such as a restroom, instead of following a static schedule and hence can potentially save a significant amount of labor cost. The system is very accurate, privacy aware, and easy to use. In addition to allowing custodial management to optimize their workforce, the system is capable of detecting theft of supplies and performing inventory management. It can be useful in airports, hospitals, stadiums, theaters, academic buildings, convention centers, and many other dynamic places.

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: Described are a system, method, and computer program product for evaluating location-based risk associated with a remote transaction request. The method includes receiving, from a service provider system, a transaction request for a transaction between a user and the service provider system for a requested service, the transaction request identifying at least a location for the requested service. The method also includes generating a risk score for the transaction based at least partially on the transaction request, the location for the requested service, and historical transaction data. The method further includes communicating the risk score for the transaction to the service provider system. Communicating the risk score to the service provider system causes the service provider system to take at least one action based at least partially on the risk score for the transaction.

Abstract: A system and method are provided for determining an optimum price curve to a target date and dynamically updating a price of a product in real-time in a store of a merchant. A merchant database contains and a third-party source provides information which is relevant to determining the price. An enhanced data engine and database generates and stores enhanced information which is derived from the merchant and third-party information and which is relevant to determining the price of the product. A dynamic pricing mechanism includes an artificial intelligence trained on the enhanced information and is configured to determine the optimum price curve for the product, and to transmit a current price from the optimum price curve via a communications network. An electronic price display is located in the store and receives from the dynamic pricing mechanism and visually displays in real-time the current price of the product.

Abstract: The application discloses an automatic product dispatching device in case of a site abnormality in a queue time section loop, which includes a risk level definition module and a risk control logic module for product dispatching in case of the site abnormality; the risk level definition module divides risks into a plurality of levels, defines a corresponding site risk level at each site, divides a queue time section loop from a current site to an abnormal site of products into a current queue time section, a middle queue time section and an abnormal queue time section, and respectively defines section risk level; the risk control logic module forms a current product dispatching result according to a logic relationship among the section risk levels. The application further discloses an automatic product dispatching method in case of a site abnormality in a queue time section loop.

Abstract: By analyzing a set of actions of a meeting attendee, a set of accommodation rules for the meeting attendee is determined. Responsive to determining, using a set of facility data, that a meeting request for the meeting attendee violates an accommodation rule in the set of accommodation rules, the meeting request is modified, the modified meeting request conforming to the set of accommodation rules. A meeting location and a meeting time are assigned according to the modified meeting request.