Abstract: A communication system includes a first information processing apparatus for holding reservation information of a facility in association with information to be used at the facility; and a device that is provided in the facility and communicable with the first information processing apparatus. The communication system includes circuitry configured to: receive identification information of the reservation information and a notification indicating start of use of the facility from the device provided in the facility; in response to receiving the notification indicating start of use of the facility, transmit the information, which is requested from the device provided in the facility and corresponds to the reservation information identified by the received identification information, to the device provided in the facility; request the first information processing apparatus for the information to receive the information; and display the received information.

Abstract: A system, method, and computer readable medium (collectively, the “system”) is disclosed for generating real-time insights from a big data storage platform. The system may process transaction data stored in a big data management system (BDMS) to generate characteristic data associated with a plurality of demographics. The system may also model an account associated with a corporate ID to identify a demographic from the plurality of demographics associated with the corporate ID. The system may further compare the user data associated with the corporate ID to the characteristic data of the demographic associated with the corporate ID to generate a view responsive to a request. The system may also transmit the view in response to the request, for example, to an interface for use by a program administrator.

Abstract: A sharing support server that supports use of a resource to be shared among a plurality of users includes circuitry to receive, from a communication terminal being used in an event, information on an action item generated in the event using the resource, and store, in a memory, first information, which indicates a storage location of image data indicating content of the action item, and second information, which indicates whether the action item is a main or a sub, and further indicates, when indicating the sub, relationship with a corresponding main action item in association with each other. The circuitry receives, from the communication terminal, an action item check request, generates, in response to the request, screen data that includes the image data representing the content identified by the first information and data representing the relationship identified by the second information, and transmits the screen data to the communication terminal.

Abstract: According to one aspect, a method for executing a multi-restaurant order, may be provided; the method comprising: receiving a multi-restaurant order comprising requesting a plurality of order items associated with a plurality of restaurants from a customer; calculating a time to begin preparing a first order item associated with a first restaurant; calculating a time to begin preparing a second order item associated with a second restaurant; comparing the times; scheduling, based on the comparing, a first time to begin preparation of the first order item and a second time to begin preparation of the second order item; transmitting the first and second time to begin preparation to the first and second restaurant, respectively; generating a plurality of proposed pickup times, based on the scheduling, of the first order item and the second order item; and transmitting the plurality of proposed pickup times to a driver management module.

Abstract: A computer-implemented method includes receiving one or more articles at an inspection station that includes an inspection processor, inspecting the one or more articles in view of at least one repairability criterion presented via one or more graphical elements, and updating an inspection database if the one or more articles fails the at least one repairability criterion. The method includes inspecting the one or more articles in view of at least one local repair criterion presented via one or more graphical elements, inspecting the one or more articles in view of at least one inspector-driven criterion presented via one or more graphical elements, the action type including at least one of determining an inspection failure or a passed inspection, and updating inspection history data stored in an inspection database in communication with the inspection processor based on the at least one repairability criterion, local repair criterion, or inspector-driven criterion.

Abstract: The present teaching generally relates to detecting data bucket discrepancies associated with online experiments. In a non-limiting embodiment, a monitoring layer may be generated within an online experimentation platform that includes at least a first layer, and where a first online experiment is associated with the first layer, the monitoring layer includes a monitoring layer data bucket, and the first layer includes at least a first data bucket. First data representing user activity associated with a first plurality of identifiers may be obtained, the user activity being associated with the first layer. Second data representing at least one user engagement parameter may be generated, and a first discrepancy between the first and second data may be determined. The first discrepancy indicating a first amount of identifiers that include a first metadata tag associated with the first layer and lack a second metadata tag associated with the monitoring layer.

Abstract: Apparatus and methods for automatically executing a trade of an item between a market participant who issues a request for a quote for an item and a market participant who responds to the request are provided. In some embodiments, an automatic trade may be conditioned upon the acknowledgement, by the participant who issues the request, of an obligation to execute the trade. In some embodiments, the invention may include one or more modules for receiving the request, receiving a quote, receiving a responsive number of units of the item to be traded, decrementing a time interval in which the participant who issues the request is required to trade, and, if that participant does not trade within the time interval, trading on behalf of that participant.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: Systems and methods for dynamically responding to requests for information, derived from one or more data sources, relating to at least one event participant. A notification of a scheduled event is received at a server. The notification identities a plurality of individuals invited to attend or participate in an event. Data attributes relating to the event participants are retrieved from one or more data sources and stored. The data attributes can include personal attributes, professional attributes, and social interaction attributes. Before, during or after an event, requests are received and processed to provide event participants and other interested parties access to contextual information relating event participants to one another, the identities of event participants possessing one or more attributes, and lists of attributes for one or more known event participants. The requests can include images and sound recordings captured during the event.

Abstract: Productivity of at least one user in an environment is measured along one or more or more dimensions. Measuring the productivity of the at least one user comprises tracking one or more data items associated with an electronic document. One or more conditions that influence the measured productivity of the at least one user are identified. One or more suggestions for improving the productivity of the at least one user are generated based on the one or more identified conditions.

Abstract: A controller is provided to orchestrate operations of two or more different actors or resources in completing a task. The controller orchestrates the operations based on a dependency graph that the controller generates for each received task. The dependency graph has a linked list of nodes. Each node includes a different set of operations for completing a different part of a task represented by that dependency graph. Each set of operations associated with a node may be dependent on the successful completion of a prior set of operations associated with a prior linked node in the same dependency graph. The controller may allocate different sets of operations from different nodes of the dependency graph to different human or robotic resources, and may track the status of multiple tasks in parallel based on the progression through different nodes of the corresponding dependency graphs.

Abstract: Embodiments relate to an intelligent computer platform to utilize machine learning techniques to minimize compliance risk. Data, collected from a plurality of sources is subject to analysis and correlation to assess impact across data points. The assessment measures impact between at least two different compliance domains, facilitates understanding of cross-impact between compliance domains, and provides an estimation of compliance risk. A recommendation plan for one or more new compliance activities is created and dynamically subject to a machine learning reinforcement algorithm.

Abstract: An analytical model training method includes generating a modified set of machine repair records by associating a machine with at least one of i) one or more defects associated with the machine, ii) a repair of the one or more defects, and iii) one or more repair characteristics. An analytical model training system generates a training model based from the modified set of repair records and a set of survey records indicative of reported experience values. The system isolates at least one time-based machine operation parameter associated with machine operation from a set of machine operation records. A modified set of machine operation records is generated that includes a plurality of values associated with the at least one time-based machine operation parameter. An analytical model is configured to output an estimate of customer experience based at least partly on a second set of machine repair records.

Abstract: The system and method described herein may be used to make a binary determination of whether to initiate an in-trip audit of self-scans in a self-checkout system. For example, the system may receive one or more audit parameters that are used to calculate an audit score. The audit score may be compared to a predefined audit threshold to determine, during a shopping trip, whether to initiate the in-trip audit. After or in combination with making the binary determination, the system may make a probabilistic determination of whether to initiate an audit based on historical audit points associated with the shopper. The audit points are incremented or decremented based on prior audits and other characteristics of the shopper.

Abstract: A schedule managing method includes: a number-of-worker inputting step of inputting the number of workers who perform arrangement work of arranging the members to arrangement means, in association with a production time point for producing products; a preparation time point changing step of changing a start time point or an end time point of the arrangement work in a preparation work schedule based on a work quantity of the arrangement work and the number of workers; a production time point changing step of changing a start time point or an end time point of production of the products in a production schedule based on a start time point or an end time point of the changed arrangement work; and a displaying step of displaying the production schedule, the preparation work schedule, and the number of workers along the production time point.

Abstract: An energy saving support system according to an embodiment is configured to provide a consumer, who has an electric load to which electric energy is supplied from an electric power supply system within a house, with energy consumption-related information through a photo frame or the like. The information providing apparatus is configured to acquire an acceptability level, which stepwise indicates a degree of interest of the consumer in the energy consumption-related information, and to determine the energy consumption-related information to be newly provided to the consumer based on the acceptability level.

Abstract: A survey analysis process is disclosed for extracting and organizing dynamic textual content to use as input to structural equation modeling (SEM) for survey analysis in order to understand how customer experiences driver customer decisions. The survey analysis process applies natural language processing (NLP) to understand customers' open-ended comments and segment customers based on the topics. By doing this, open-ended questions can be handled in SEM. The survey analysis process then builds a structural equation model to evaluate how customers' real feelings affect their loyalty, satisfaction score, etc., which are measured as closed-ended questions in the survey. In this way, the survey analysis process enables SEM to handle customers' actual feelings.

Abstract: Systems, apparatuses, processes, methods and operations for implementing and managing a data collection campaign for data regarding the observation of product or service related information. In some embodiments, the invention is directed to systems, apparatuses, processes, methods, and operations for enabling an observation campaign to be defined and executed. As part of that design and execution, a user's or prospective user's rating may be accessed and used to decide whether to make a specific opportunity or set of opportunities available to a specific user, and/or to process the data received from a certain user in a certain way. In some embodiments, a communication or instruction may be generated and provided to a user/observer participant in an observation campaign requesting that they alter some aspect of the setting or environment in which a product is being sold or offered for sale.

Abstract: Methods, apparatus, and processor-readable storage media for machine learning techniques for automated processing of workflow approval requests are provided herein. An example computer-implemented method includes generating a machine learning model for workflow approval requests, wherein generating the machine learning model comprises automatically learning temporal-based patterns from historical data related to previous workflow approval requests; generating, in response to an additional workflow approval request, an output value by applying the machine learning model to input data related to the additional workflow approval request; comparing the output value to at least one predefined threshold value; and automatically rejecting the additional workflow approval request responsive to a result of the comparing of the output value to the at least one predefined threshold value.

Abstract: Methods, systems, apparatus, and computer program products are provided. In an example embodiment, a method is provided comprising receiving input identifying load information corresponding to a load to be inserted into a transportation plan. The transportation plan comprises a plurality of transportation schedules, each schedule comprising a plurality of transportation movements. The method further comprises identifying an available movement network comprising portions of transportation schedules having open capacity, each portion of a transportation schedule having open capacity being a potential leg of a path from the origin location to the destination location; determining potential solutions for transporting the load from the origin location to the destination location by combining one or more legs to determine a path of open capacity movements from the origin location to at least part way to the destination location; and providing one or more potential solutions for display via a user interface.