Abstract: A component manufacturing system includes a main base, a first production base and a second production base. The main base designs a common wire harness and optional wire harnesses. The main base has a first order function of determining the number of common wire harnesses to be produced based on temporary order information and placing an order with the first production base, and a second order function of acquiring order confirmation information from the customer at a timing closer to a delivery date than the temporary order information and placing an order with the second production base for the completed wire harness based on the confirmation information.

Abstract: Techniques for workforce management in a task assignment system are disclosed. In one particular embodiment, the techniques may be realized as a method for workforce management in a task assignment system comprising: determining, by at least one computer processor configured to operate in the task assignment system, a first efficiency level of a first task assignment strategy for a first number of agents to be employed in the task assignment system; determining, by the at least one computer processor, a second efficiency level of a second task assignment strategy for a second number of agents to be employed in the task assignment system; comparing, by the at least one computer processor, the first and second efficiency levels; and selecting, by the at least one computer processor, one of the first and second numbers of agents having the higher of the first and second efficiency levels.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Abstract: Systems and methods for predicting an outcome for a marketing asset. The systems and methods comprise first determining by a computing device, for a marketing asset received by the computing device, at least one asset type of the marketing asset. The marketing asset is parsed, by the computing device, into a plurality of segmented components, based on the determined at least one asset type. For at least one of the plurality of segmented components, at least one discrete marketing message conveyed by the marketing asset is determined, by applying at least one of a predictive model or rules to the at least one segmented component, where the at least one predictive model or rules are stored in a memory associated with the computing device. The method further includes determining, for each of the at least one discrete marketing message, at least one associated score.

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 method for predicting, assessing, and auditing prices of products or services is provided. In some embodiments, the method includes receiving a product description with one or more terms and obtaining a product list with product descriptions having respective prices, where each product description in the product list includes the one or more terms or combinations thereof from the received product description. The method further includes, training a model to determine how the one or more terms or combinations thereof influence the prices in the product list, using the trained model to make a price prediction for the received product description, and enabling assessment of product prices based on the price prediction made by the trained model.

Abstract: Described herein is a performance engineering maturity model (PEMM) system that can be implemented in a computer network to improve upon or overcome performance engineering issues within information technology (IT) systems of organizations.

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: The present disclosure is for a system and a method for processing requests for custom paper products and estimating costs associated with manufacturing the custom paper products. Specifically, the present invention is an inventory management, yield and cost estimation system and method for use by a paper converting company. The system and method involves determining the output requirements of a custom paper product, determining the available inventory which can be converted into the custom paper products, the available machines and an appropriate converting process to perform the converting and estimating the yield, production time and production cost associated with a given set up for making the custom paper products.

Abstract: Disclosed is a method, system, and computer program product for implementing adaptive business workflows, where the context is coordinated with a hierarchy. The adaptive workflow may include conditional stages that are also coordinated with the hierarchy.

Abstract: An embodiment includes initiating a search engine to conduct a first search of a data resource for information associated with an acquisition candidate using search criteria provided via a user interface. The embodiment receives a first search result from the search engine comprising an information dataset associated with the acquisition candidate. The embodiment generates a candidate rating for the acquisition candidate indicative of a performance metric for the acquisition candidate relative to another acquisition candidate. The embodiment initiates the search engine to conduct a second search of the data resource using search criteria extracted from the information dataset. The embodiment receives a second search result from the search engine comprising due-diligence data. The embodiment calculates an updated candidate rating for the acquisition candidate based on the cognitive analysis of the due-diligence data and uses the updated rating to provide a recommendation regarding the acquisition candidate.

Abstract: The present application generally relates to a system that includes one or more sensors configured to acquire data representative of a geographic area, including municipal data, vehicular data, utility data, or a combination thereof. The system also includes a processor that receives a request for a loan from a requesting party. The request is associated with a service to be provided to the geographic area. The processor determines a factor for the geographic area based on the data, and the factor is representative of a presence of the service within the geographic area. Additionally, the processor determines a gap associated with the service within the geographic area. The gap is indicative of a perceived desire for the service within the geographic area. Furthermore, the processor determines whether the gap exceeds a threshold value and automatically transfers funds to the requesting party in response to the gap exceeding the threshold value.

Abstract: Methods, systems, and apparatus for solving cost optimization problems. In one aspect, a method includes receiving data representing a bill of materials (BOM) optimization problem, the BOM optimization problem comprising a task of determining a BOM recommendation that satisfies one or more constraints, wherein each constraint comprises one or more constraint variables and a constraint constant; generating, based on the data representing the BOM optimization problem, a quadratic unconstrained binary optimization (QUBO) formulation, wherein the QUBO formulation comprises i) for each constraint variable in the one or more constraints, a binary representation of the constraint variable and ii) a first parameter that depends on a difference between a respective constraint constant and the binary representations of the constraint variables; and obtaining data representing a solution to the BOM optimization problem from a quantum computing resource.

Abstract: This specification relates to methods, and systems for stakeholder and impact discovery. One of the methods includes receiving a knowledge representation model indicating at least a first stakeholder and a first impact; determining an impact model based at least in part on the knowledge representation model; receiving distributed sensor data; and determining at least a second impact based at least in part on the impact model and the distributed sensor data.

Abstract: The present disclosure is directed to a method for managing performance indicators of a number of buildings. The method includes providing a user interface to select at least a first physical premise and a second physical premise to be compared from a plurality of physical premises of an organization. The method includes identifying one or more performance indicators associated with an entity of the organization. The method includes collecting data that associates the first and second physical premises with the one or more performance indicators. The method includes displaying, through the user interface, one or more comparison results of the one or more performance indicators among the first and second physical premises.

Abstract: A device that is configured to establish a network connection between a user and an agent. The device is further configured to identify a first issue type for the user and to identify a first resolution type provided by the agent based on a conversation between the user and the agent. The device is further configured to identify a performance score from a resolution mapping based on a combination of the first issue type and the first resolution type. The device is further configured to identify a first knowledge area that is associated with the first issue type and to update a first knowledge score that is associated with the first knowledge area in a performance record for the agent based on the performance score. The device is further configured to send a recommendation to the agent based at least in part on the performance score.

Abstract: Embodiments relate to a system, program product, and method for managing apparel to facilitate compliance through a cognitive system, i.e., using an artificial intelligence (AI) platform to dynamically analyze the apparel donned by individuals to determine compliance with established apparel compliance practices and provide suggestions for overcoming non-compliance. The determinations of non-compliance are accompanied with respective risk factors. The system, program product, and method disclosed herein facilitate leveraging written requirements processed by natural language processing (NLP) for the donning of apparel that includes proper clothing articles and accessories, as well as associated requirements of clothing articles and accessories that are not appropriate for the respective conditions.

Abstract: A computer device implements a method of scheduling production of packaged dairy products in a production plant by simulation. The method obtains a production target for dairy products to be produced and packaged in the production plant, recipes for production of the packaged dairy products, where each recipe defines ingredients and recipe activities, and production unit data that specifies existing production units and available fluid paths in the production plant and associates the existing production units with unit activities and production capacities. The method further performs the simulation by generating, as a function of the recipes and the production unit data, time schedules of recipe activities performed at least partly by one or more combinations of the existing production units to achieve the production target data, and evaluating the time schedules for selection of at least one time schedule for the production plant.

Abstract: An information processing method which is performed by an information processing apparatus for forecasting demand for a service provided by a mobile vehicle, comprises a classification step of classifying a plurality of unit regions included in a first area into a plurality of categories, respectively, by using a first classification model; a first building step of building a first demand forecasting model by determining a first set of parameters to be applied to each of the plurality of categories based on the classified categories and track record data in the first area; a second building step of building a second classification model by using classification criteria possessed by the first classification model, and building a second demand forecasting model by using the first set of parameters; and a forecasting step of performing demand forecasting in a second area by using the second classification model and the second demand forecasting model.

Abstract: Aspects of the subject technology relate to creating an electronic calendar event. A set of event properties from message contents and participants of an electronic message thread is identified. An electronic calendar event comprising event attributes based on the set of event properties is created.