Abstract: This disclosure involves training classification algorithms to predict end-user behavior based on historical conversation data. For example, a computing system accesses training data with conversational and non-conversational data. The system derives decision points from a textual analysis of the conversational training data. The computing system fits a hidden Markov model having multiple hidden states to the non-conversational data. The computing system groups observations from the non-conversational data and the derived decision points into data segments. Each data segment includes a subset of the observations and the decision points associated with a hidden state. The computing system generates, from each data segment, a predictive model for the hidden state. Subsequently, input non-conversational data is matched to one of the hidden states.

Abstract: A computer system can perform a semi-supervised machine learning processes to cluster a plurality of entities within a population based on their features and associated labels. The computer system can generate visualization data representing the clusters of entities and associated labels for displaying on a user interface. A user can review the clustering of entities and use the user interface to add or modify the labels associated with a particular entity or set of entities. The computer system can use the user's feedback to update the labels and then re-determine the clustering of entities using the semi-supervised machine learning process with the updated labels as input. As such, the computer system can use the user's feedback to improve the accuracy of the machine learning model without requiring a larger amount of labeled input data.

Abstract: The disclosed embodiments include a method performed by server computer(s). The method includes obtaining private healthcare insurance claims data and public healthcare procedure code data from one or more data source(s), generating a model based the training data, and determining a multiplier for each of the many facilities based on the model. The model provides predictive results for variability between healthcare facilities thereby enabling consumer research in light of considerations in facility variability. The multiplier is indicative of a value used to scale the public healthcare procedure code data for a facility such that a healthcare service associated with the facility can be estimated based on the multiplier.

Abstract: An initial map corresponding to a physical event space may be modified to include a plurality of tenant space segments disposed within a boundary corresponding to the physical event space. Particular tenant space segments may be reserved by event tenants and associated with information descriptive of the event tenants. The customized map may be provided to one or more users of the public (e.g., attendees of the event).

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a dynamic parking information management system (DPIMS). DPIMS is a centralized, online aggregator of parking assets for a location of interest for real-time and scheduled parking requests. DPIMS dynamically updates parking asset inventory based on reports from providers of available parking assets, including commercial, private and flash parking asset providers. DPIMS also provides a mobile valet service for location-based, on-demand valet services that use the parking asset inventory provided by DPIMS servers.

Abstract: A system and method for the sale, purchase, and reuse of tickets previously purchased is provided. The system and method provide a tertiary market for used ticket by enabling the tickets of “early exits” to be resold to later attendees who wish to attend the remaining duration of the event. The system and method can be applied to any event in which tickets or passes of some sort are sold, both single-day and multi-day, including but not limited to: sporting events; concerts; festivals; and conferences. Tickets are made available through an electronic system that captures the ticket information either upon departure, or soon after. Upon recapture, tickets are then made available to a new consumer through the same process.

Abstract: The present disclosure relates to systems, methods and non-transitory computer readable media for determining at least one candidate order in response to an on-demand service. The system may include at least one computer-readable storage medium including a set of instructions and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the at least one processor is directed to: receive a request associated with a terminal device, the request including at least one of a current time or a current location of the terminal device; obtain a plurality of historical orders associated with the terminal device based on the request; determine at least one candidate order based on the plurality of historical orders and the request; and transmit the at least one candidate order to the terminal device in response to the request.

Abstract: A follow airline searching system and method, including: an airline ticket history database (DB) storing information of at least one of past airline tickets including a previously reserved airline ticket which has been reserved or searched by a past user, a ticket which has been searched, or a ticket which is being searched by the airline searching system; and a control module enabling a user terminal to search a target airline ticket by using and following an object airline ticket chosen by the user terminal among the at least one of the past airline tickets stored in the airline ticket history DB. The control module performs a follow searching process to enable the user terminal to search the target airline ticket by using information of a traveling place of the object airline ticket and optionally further using information of an airline company of the object airline ticket.

Abstract: Provided is an optimization system capable of creating a large amount of data for optimization and specifying values of control variables in order to acquire an optimum result in consideration of uncertainty of predictive values. A simulation means 2 is given a model which is information modeling an object to be analyzed therein and including a parameter containing predictive values and their error ranges, control variables and an objective variable, determines values of the control variables per simulation for specifying a value of the objective variable, and conducts simulation multiple times based on the model. Further, the simulation means 2 determines definite values of the predictive values based on a random number and the parameter per simulation, and conducts simulation by use of values of the control variables and definite values of the predictive values. A control variable value specification means 3 specifies values of the control variables when the objective variable takes an optimum value.

Abstract: Systems and methods for adaptive demand charge management in a behind the meter energy management system. The system and method includes determining, in a first layer, an initial demand charge threshold (DCT), for a first period, based on historical DCT profiles, and generating recursively, in a second layer, a forecast of a power demand for a second period, wherein the second period is a subset of the first period. Further included is combining the first layer and the second layer to recursively modify the initial DCT with a DCT adjustment value to generate a modified DCT, wherein the DCT adjustment value is optimized according to the forecast of power demand for the second period, and controlling batteries according to the modified DCT, wherein the batteries are discharged if power demand is above the modified DCT, and the batteries are charged if the power demand is below the modified DCT.

Abstract: A system and method for communication routing, transportation coordination and product creation, based on the number of delivery agents and the need for delivery of an order placed through a customer order placement application, the method includes receiving a communication for each of the plurality of delivery agents comprising a delivery agent location, determining a delivery agent arrival time for pickup of the order, and based at least partially on the arrival time, transmitting, by the communication router over the communication network to the manager application, an instruction communication to begin preparation of each of the items at the respective preparation start time for each of the items so that completion of preparation of each of the items in the order substantially coincides with the completion of preparation of each of the other items in the order and coincides with the arrival time of the delivery agent.

Abstract: Computationally implemented methods and systems that are designed for receiving one or more first directives that direct a transportation vehicle unit to transport a first end user; receiving, while the transportation vehicle unit is en route to or is transporting the first end user, one or more second directives that direct the transportation vehicle unit to transport a second end user while transporting the first end user, the transportation vehicle unit having been determined to be able to accommodate transport of the second end user while transporting the first end user; and verifying that compliance with the one or more second directives will not conflict with one or more obligations to transport the first end user by the transportation vehicle unit. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: A system and method is disclosed for computing optimal inventory targets in bill of materials in a multi-echelon supply chain. The system includes one or more memory units and on or more processing units collectively configured to determine a delay time from at least one second plan level node in an at least second indenture plan level to at least one first plan level node in a first indenture plan level. The one or more memory units and on or more processing units is further collectively configured to determine a delay time from the at least one first plan level node in the first indenture plan level to a finished good.

Abstract: This invention relates to a drone based predictive system for detecting and analyzing web and drone based data in order to mitigate potential losses and enhance risk mitigation activities in commercial insurance such as for business owners policies and workers compensation. The drone is able to capture from a plurality of angles and perspective to provide data to effect a variety of insurance based actions.

Abstract: A system and method for outputting weather data associated with a user-specified location based on a user-specified weather inquiry, including weather data output based on user-specified weather conditions, locations output based on a user-specified weather inquiry, notifications output regarding weather-related warnings, and notifications output based on weather-related notification thresholds.

Abstract: A composite technology system RETINA that enables intelligent decision synchronization in real time for continuous, discrete and batch process industries is disclosed. RETINA generates and synchronizes the intelligent decisions that affect the performance and profitability of business operations in real time and helps in analysis that are essential for any successful business operations in any manufacturing industries. RETINA combines the real time integration capability; Predictive analytics capability and adaptive real time process modeling capability to generate intelligent risk-reduced business decisions for continuous, discrete and batch manufacturing processes. RETINA unifies the data from disparate sources or in silos, collates, comprehends and analyses the data, and then convert them into actionable information in real time.

Abstract: Method and device for determining digital maturity of organizations is disclosed. The method includes extracting, by a computing device, a plurality of digital maturity parameters. The method further includes creating, by the computing device, a plurality of digital fitness metrics along a plurality of digital dimensions using the plurality of digital maturity parameters. The method includes assigning, by the computing device, a weight to each the plurality of digital maturity parameters across at least one of the plurality of digital dimensions. The method further includes computing, by the computing device, a plurality of dimension scores for the plurality of digital dimensions based on the weight assigned to each of the plurality of digital maturity parameters. The method includes computing, by the computing device, a digital fitness score for the organization based on the plurality of dimension scores.

Abstract: Methods, apparatuses, and computer program products are provided for automatically identifying a shortest duration of time for an aspect of an operation. Electronic data related to instances of past operations of at least one vehicle is received. The data comprises respective available durations of time and actual durations of time for an aspect of the past operations. A candidate data set is generated by removing data related to past operations identified as isolated instances of available durations of time and actual durations of time. A mathematical function is generated that fits the candidate data set. An instance from the candidate data set with the shortest actual duration of time that is less than a threshold distance from the mathematical function is identified. The actual duration of time for the identified instance is assigned as a future duration of time for future operations of the at least one vehicle.

Abstract: A system obtains a variance in a probability distribution of a building construction process metric. The system selects one or more of the plurality of random variables on which the building construction process metric is a dependent random variable, assigns a value to each selected random variable, obtains from a database that stores probability distributions for the plurality of random variables a probability distribution for each selected random variable, and determines a variance in the probability distribution for the building construction process metric based on a calculation involving the assigned value, and the obtained probability distribution, for each selected random variable. When the determined variance exceeds a maximum target variance, the system adjusts the value assigned to at least one of the selected random variables and/or select a new one or more of the plurality of random variables on which the building construction process metric is a dependent random variable and repeats the process.

Abstract: In some implementations, a first set of user activity data is received from a plurality of sensors where the first set of user activity data corresponds to a plurality of users. A task list of an objective is extracted from the received first set of user activity data based on patterns formed in the first set of user activity data in association with the plurality of users pursuing the objective. Based on determining a second set of user activity data indicates pursuit of the objective by a user, it is determined that at least a task of the task list is uncompleted by the user based on comparing the second set of user activity data to the task. Content corresponding to the task is provided to a user device associated with the user based on determining the task is uncompleted.

Abstract: A process management tool (PMT) brings together the functionalities of rigid, system-enforced workflow orchestration and user-driven, task-centric collaboration space. The PMT allows a user to store their work artifact in their preferred repositories or file sharing services. Users share the work artifact via the PMT, which connects an invited participant in a specific role associated with the work artifact. The PMT forms a microflow by creating a context on top of the work artifact relating the work artifact to actions and persons. Microflow templates facilitate existing work practice without requiring time-consuming and expensive integration projects or workflow modeling.

Abstract: A computer-implemented method comprising collecting and processing data, forecasting performance and identifying, sizing, prioritizing, ranking and presenting for execution performance improvement opportunities. It can be applied in various operational functions (for example, sales, customer care, bill collections, underwriting), operational environments (for example, distributed environments such as branch or retail outlet networks, or centralized environments such as call centers), industries and public sector areas. The system can use preset performance targets or it can generate in an automated way adaptive benchmarks against which to identify, size, prioritize and rank the performance improvement opportunities. It provides analysis and recommendations for improvement at all levels in an organization, starting from its basic operational unit (for example, sales agent or retail outlet).

Abstract: Embodiments of the present disclosure relates to a method and a system for enabling health management. More particularly, the proposed method and system provides a 360-degree view of the organization to determine performance affecting factors of the organization with regard to competition, competitors, and suppliers and so on. The proposed method determines the performance affecting factors of an organization based on data from multiple sources to identify influencing factors at the organization level or at the individual business units within the organization.

Abstract: Methods, systems and networks for assessment, development, and management of the selling intelligence and sales performance of individuals among a population of individuals competing in a field. The systems and networks support (i) 3D avatar-based virtual reality (VR) gaming environments supporting conservations and simulations that challenge and assess sales people and develop their sales skills, (ii) automated scoreboards showing the standing among assessed individuals competing on a team, within a company or industry, and (iii) automated coaching and performance feedback with dashboards and reporting tools to help sales managers/leaders develop the selling intelligence of sales representatives and increase their sales productivity.

Abstract: Various implementations directed to a competency management system are provided. In one implementation, a method for performing an assessment using a competency management system may include displaying a skills map for a position within an organization, where the skills map corresponds to a skill represented by skill units, and where each skill unit includes skill elements having evidence requirements and competency levels. The method may also include receiving self-assessment data corresponding to the evidence requirements. The method may further include determining a self-assessment competency score based on the self-assessment data. The method may additionally include receiving supervisor assessment data from a supervisor of the organization, where the supervisor assessment data includes data indicating a confirmation or denial of the self-assessment competency score based on the evidence requirements.

Abstract: A computer detects and identifies a consumer contacting a virtual dialogue host. The computer receives a query from the consumer and determines an estimated wait time to be connected to a representative. The computer determines whether additional information would be helpful in resolving the consumer query and, if so, requests that information. The computer proceeds to extract other information from the user during the remaining estimated wait time and aggregates the results.

Abstract: A computer detects and identifies a consumer contacting a virtual dialogue host. The computer receives a query from the consumer and determines an estimated wait time to be connected to a representative. The computer determines whether additional information would be helpful in resolving the consumer query and, if so, requests that information. The computer proceeds to extract other information from the user during the remaining estimated wait time and aggregates the results.

Abstract: Systems and methods are disclosed for meeting completion. In one implementation, a message generated in relation to a meeting is received. The message is processed to identify a first action item and a first user associated with the first action item. The first action item is assigned to the first user. Performance of the first action item by the first user is tracked. The performance of the first action item by the first user is presented within an action tracking interface.

Abstract: In a method for tracking workers in a park, work areas for the workers are defined, respectively, which include a first work area defined for a first worker. The defined work areas are transmitted to worker devices, respectively, which include a first worker device provided for the first worker. When it is determined that the location of the first worker device is outside of the first work area, the first user is prompted to input or select a report, and when the report is acquired by the first worker device, the report is wirelessly transmitted from the first worker device to the management server. An action in response to the transmitted report is determined, and assistance information corresponding to the determined action is wirelessly transmitted from the management server to one or more of the worker devices.

Abstract: A computer implemented method and system for processing a service request of a service catalog. A service request is received. Context information of a service specification comprised by the service request is determined. Using the context information, a predicted user satisfaction metric is calculated. Based on a predicted user satisfaction indicated by the predicted user satisfaction metric, a response to the service request is determined.

Abstract: Systems and methods for improving the efficiency of receiving and registering parcels arriving at a storage facility may identify the parcels and/or any items therein by scanning or reading one or more external markings on the parcels, and route the parcels to designated areas within a multi-dimensional buffer region on a first conveyor or other like apparatus. Within the buffer region, parcels may be positioned and/or rearranged on account of their respective priority levels. When a facility is prepared to receive the items within a parcel, the desired parcel may be retrieved from the buffer region, and the items singulated therefrom. The items may then be transported to an ultimate destination for storage, delivery or further preparation, and one or more attributes of the respective items (including a weight, a dimension or an image) may be gathered from the items while they are en route to the destination.

Abstract: Techniques and system configurations for use of cached data to generate and present a schedule or other availability information for delivery and service scheduling of a product are disclosed herein. In an example, electronic operations used for offering cached availability information in a user interface include: obtaining service information to identify a service for a product (such as installation or removal) that can accompany, precede, or follow, delivery of a product; obtaining customer information to identify a geographic location to perform the service for the product; retrieving, from a cached data store, availability information to perform the service for the product based on the geographic location and the service information; and presenting the availability information to perform the service in association with the delivery of the product. With this technique, a calendar or schedule can be produced from cached data, without requiring multiple requests to a scheduling system.

Abstract: This invention will allow airport customers to mail their non-permissible item/items from airport security checkpoints, to their desired destination, as opposed to discarding them or forfeiting their flight.

Abstract: An end to end system and method for processing and assigning logistic order entered by consignor to a channel partner based on reverse bidding is disclosed. The method may comprise receiving a bid comprising an initial bid amount from each of the one or more channel partner to execute the one or more logistic orders. The method may further comprise assigning an initial score to each of the one or more channel partner based upon the initial bid amount in the bid and a time of bidding by each of the one or more channel partners. The method may further comprise updating the initial bid amount to a revised bid amount in the bid of each of the based upon predefined set of rules.

Abstract: A method and system for retail stock allocation. The system includes remote client devices positioned at retail stores of a retail chain and a computational device positioned at a head office of the retail chain. The computational device is configured to receive sales data from the stores and compute a sales forecast at the store level for each item and size, based on past sales, category seasonality and size-level allocation. A store level budget is then computed based on the current balance between stock levels and sales forecast. The system sends an initial proposal to each store with recommended list of orders and releases for items and sizes staying within the budget calculated for the store. The proposal is editable by retail store managers strictly within the budget constraints. After collecting the modified proposals the expected profit is maximized through the optimization of stock movements which includes trans-shipments across stores.

Abstract: According to one embodiment, an object handling apparatus includes a first mechanism and a second mechanism. The first mechanism draws an adapter arranged in a rack, one or more objects being placed on the adapter. The second mechanism moves the one or more objects toward a side where the one or more objects are taken out from the adapter.

Abstract: A server for providing inventory management includes a storage device that stores: an inventory database data including an identification code of each of a plurality of commodities owned by a user, and location data corresponding to a predetermined area. A processor receives, from a portable terminal, an identification code acquired by the portable terminal and position information indicating a position of the portable terminal. The processor determines whether the position information corresponds to a position within the predetermined area. If the position information corresponds to a position within the predetermined area, the storage device updates the inventory database based on the received identification code.

Abstract: An electronic indication of a nil pick is received. Item information associated with the desired product, sales data concerning the desired product, supply chain information associated with the desired product, and a perpetual inventory (PI) value of the desired product are stored. An adjustment to the PI of the desired product is blocked when a predetermined event occurs at the retail store, or when information that contradicts the validity of the nil pick is received from the retail store. When the adjustment to the PI of the desired product is not blocked, an amount of the adjustment is determined based upon one or more of: the item information associated with the product, the sales data concerning the product, and the supply chain information associated with the desired product.

Abstract: An analysis of the scans is performed to determine whether the selected item was moved from the back room to the shelf, then returned from the shelf to the back room. The analysis also determines a re-bin time when the selected product was returned to the back room. An adjustment to the PI is blocked when last PI adjustment time is later than the re-bin time. An adjustment to the PI is also blocked when an audit indicator is received at the interface indicating that the retail store is under an audit. An adjusted PI value is determined when the analysis indicates that the selected item was moved from the back room to the shelf, then returned from the shelf, the adjusted PI value being at least one more than the shelf capacity value.

Abstract: An order fulfillment control circuit detects an opportunity to deliver a product to a particular entity and responds by obtaining a first set of rules that identify at least one product that can fulfill the detected opportunity as a function of partialities for that entity. After identifying at least one product that can fulfill the detected opportunity, the control circuit then obtains a second set of rules that rule out products as being suitable for the particular entity as a function of overriding concerns and uses those rules to remove one or more of the candidate products from consideration notwithstanding present availability of the removed candidate product. When the resultant set of suitable candidate products constitutes a null set, the control circuit automatically declines to fulfill the opportunity to deliver a product to the particular entity without also suggesting a substitute product to the particular entity.

Abstract: An order fulfillment system including a frame defining a passageway, a tray positioned in the passageway and pivotable between a first position and a second position, and a sensor system configured to sense the position of the tray.

Abstract: Method and system for providing multi-destination dynamic routing and optimal route plan in logistics using a multi-destination dynamic routing application is disclosed. The system comprising of a remote centralized server on the backend and a mobile application working on a device that interacts with the remote centralized server, either frequently, if there is an internet connection, or automatically whenever there is any connectivity or using messaging protocol in case of no internet connectivity. The remote centralized server provides the User a means for feeding inputs, managing other users, changing user settings, downloading routes, tasks, priorities and making the feedback available for all other Users. Further the User of the delivery vehicles logs in and synchronizes his device with the server at the beginning of the work-day to download all the route, directions, destinations and user tasks. User can also add custom drops and re-route when the User desires.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to verify accuracy of a shipment. In some embodiments, items loaded to and/or unloaded from a delivery vehicle are scanned and compared to a delivery schedule, and a unique identifier is provided to confirm proper loading/unloading at a subsequent scheduled stop of the vehicle.

Abstract: In some embodiments, systems and methods are provided herein useful to enable shipping of commercial products. In some embodiments, systems are provided to enable shipping of commercial products, comprises: a conveyor positioned proximate to commercial product entry points and communicatively coupled to control circuits, conveyable containers each configured to traverse the commercial product entry points via the conveyor and comprising a volume configured to hold commercial products, and sensors positioned proximate to the volume and communicatively coupled to the control circuits. The control circuits use the sensors to receive authenticating data associated with commercial products when a commercial product undergoes a positional event at a commercial product entry point. The control circuits confirm associations between received authenticating data and conveyable containers. In some embodiments, the control circuits generate a notification of the positional event when the association is confirmed.

Abstract: A system and method for communication routing, transportation coordination and product creation, based on the number of delivery agents and the need for delivery of a plurality of orders placed through a customer order placement application, the method includes determining an order ready time for each of the orders, receiving an availability communication for each of the plurality of delivery agents comprising a delivery agent status, and based at least partially on the number of orders, selecting a number of delivery agents for activation, and sending an activation communication to each of the selected number of delivery agents.

Abstract: Systems and methods are provided herein for a single job backorder processing using prioritized requirements. Data comprising a plurality of requirements associated with an availability check is received. Each requirement comprises a confirmation strategy including a check prioritizer. The plurality of requirements are sorted in a hierarchical order based on the check prioritizer and the confirmation strategy. A cluster is determined based on the sorted plurality of requirements. The cluster is iteratively evaluated with availability data stored in a remote data store to determine availability of the cluster. Result analytics corresponding to the availability of the cluster are provided.

Abstract: A perpetual inventory (PI) value associated with the selected product and a last PI adjustment time that indicates when the retail store last adjusted the PI value are received. The PI value of the selected product is compared to the back room quantity value of the selected product, and a second time when the back room quantity value becomes greater than the PI value for the selected product is determined. An adjustment to the PI of the selected product is blocked when an indication of upcoming inventory adjustment for the selected product is received. An adjustment to the PI value of the selected product is also blocked when the PI adjustment time is after the second time. When the back room quantity value is greater than the PI value and the adjustment to the PI value is unblocked, the PI value is adjusted to be the back room quantity value.

Abstract: A book inventory monetary value of a selected product in the retail store is received. The book inventory monetary value is the monetary value of the selected product according to the accounting records of a retail store. A perpetual inventory (PI) monetary value is also received from the retail store. The PI monetary value is a product of multiplying a PI value for the selected product with the cost of the selected product. The book inventory monetary value and the PI monetary value are stored in a database. Subsequently, the book inventory monetary value and the PI monetary value are retrieved from the database. A difference between the book inventory monetary value and the PI monetary values is determined. An adjustment of the PI value is determined based upon the difference.

Abstract: Scans of a selected product on shelves of a retail store are obtained and the scans are transmitted over a network via a transceiver circuit. A perpetual inventory (PI) value is stored for a selected product in a database. A data structure includes a first category and first actions programmatically linked to the first category. The first actions include instructing an autonomous vehicle to find the selected product, instructing an employee to find the selected product, and adjusting the PI value of the selected product. When the selected product is out-of-stock and when the PI value is greater than a predetermined threshold, one or more of the first actions associated with the first category are performed.

Abstract: A data structure programmatically links the first product to a second product. The second product is historically purchased by the customer whenever the customer has also purchased the first product. A determination is made as to whether the customer purchased the second product together with the first product based upon the sales data. When the customer has failed to purchase the second product with the first product, instructions are transmitted to the retail store over the network to perform a verification that the second product is out-of-stock. An outcome of the verification from the retail store is received via the network. A determination is made as to a level of certainty that the second product is actually out-of-stock based upon an analysis of the sales data and the outcome of the verification. When the level of certainty exceeds a predetermined threshold, the PI value is adjusted to zero.