Abstract: A method includes receiving input identifying a dimensional framework and forecasting time period. The method also includes generating a workforce plan based on the dimensional framework and the forecasting time period. The method further includes receiving first data defining a first scenario of the workforce plan, where the first scenario is associated with at least a first turnover assumption, and determining a first set of forecasted headcount values corresponding to the first scenario. The method includes receiving second data defining a second scenario of the workforce plan, where the second scenario is associated with at least a second turnover assumption that differs from the first turnover assumption, and determining a second set of forecasted headcount values corresponding to the second scenario. The method includes generating graphical user interface (GUI) data that includes a comparison of the first set of forecasted headcount values and the second set of forecasted headcount values.

Abstract: There is provision of an operation support system for supporting an operation of a demand-supply system including a resource supplying facility and a resource demander facility. The operation support system receives an input of a demand-supply system model of the demand-supply system, facility-capacity information of the resource supplying facility, and analysis condition information defining a plurality of variables and an external variable of the demand-supply system, to generate a correlation logical formula representing a relation among the plurality of variables and the external variable.

Abstract: Methods and system for securing delivery of a parcel when an intended recipient is unavailable, comprising at least one storage receptacle having an electronically controlled locking mechanism, the storage receptacle comprising an interface for receiving an access code for facilitating unlocking of the storage receptacle, a wireless communication radio, and a processor. The system further comprises a remote service manager comprising an access code generator and a wireless communication radio for transmitting an access code to a mobile computing device operated by a delivery carrier.

Abstract: A method, computer system, and computer program product are provided for managing time record events. Time record events are collected for a number of users. Each time record event includes a geolocation of one of a number of users. The time record events and geolocations for each of the number of users are models via machine learning. A current geolocation for a given user is identified. A suggested event is predicted based on the current geolocation and a current time. The suggested event is pushed to the user.

Abstract: A method using synchronous communication to procure, schedule, coordinate, and deliver materials to a plurality of construction projects with a Calendar Model while using an administrative processor with administrative computer readable media connected to a global communication network and client devices for a plurality of suppliers, a plurality of consultants, a plurality of contractors, and a plurality of administrators. The method includes creating a supplier profile, a contractor profile a consultant profile, construction project and an administrative profile in the geographic database.

Abstract: A method, system and/or computer usable program product for managing optimization of a transportation network system including identifying a set of items for transportation between a set of origins and a set of destinations during a set of time periods, prioritizing each of the set of items, utilizing a set of network constraints and costs, utilizing a set of loading constraints for a set of transportation units, the loading constraints limiting the quantity and placement of items for each transportation unit, optimizing a quantity of the set of transportation units for transporting the set of items between the set of origins and the set of destinations during the set of time periods based on the prioritization of each of the set of items, the network constraints and costs, and the loading constraints for each transportation unit, and adjusting the optimized quantity of transportation units to a discrete quantity based on the prioritization of each of the set of items and the network constraints and costs.

Abstract: Embodiments of the disclosure are directed to methods, systems, and devices for the use of portable devices, such as a vehicle driven by a user, that are distinctive physical objects and can be presented to an authentication system for authentication purposes. More specifically, the portable device may be used as a source of information for the authentication system that can be verified. Images may be captured of the portable devices in order to determine their distinctive features for comparison to other physical objects registered to the user. The portable devices may also be a source of metadata, or additional contextual information associated with those portable devices or their interaction with the authentication system. The image data and/or the metadata associated with a portable device can be verified for fraud or risk analysis.

Abstract: Systems and method are described for receiving, by a computing platform, information about a first user of a shared mobility service, generating, based on the information about the first user, a first user profile comprising one or more first user attributes, comparing the one or more first user attributes to one or more second user attributes of a second user profile associated with a second user of the shared mobility service, and based on the comparison, causing a vehicle carrying the second user to pick up the first user.

Abstract: A method and system for managing, in real time and over time includes an electronic device with at least a processor, a memory and a display coupled to the processor and at least one network connection and an interactive management tool coupled to the electronic device. The interactive management tool includes features for managing captured leads such as Email Alerts, Exporting, Labels, Syncing, Value, and Mobility. Also provided is a method for utilizing the system to capture leads and to interactively manage the same. Further provided herein is a non-transitory machine-readable storage device comprising processor-executable instructions to perform the method.

Abstract: A method of predicting crop yield includes generating, via a processor, a plurality of vectors representative of growing conditions for a current time period and a plurality of vectors representative of growing conditions for a previous time period. The processor compares the plurality of vectors for the current time to the vectors of the previous time periods for corresponding growing conditions and determines which previous vectors are closest to the current vectors. The plurality of previous time periods are each associated with crop yields. Thus, the processor can determine a crop yield for the current time period for a selected crop producing field and crop type based on crop yields for the closest previous time periods.

Abstract: The present invention provides methods and systems for determining the play value of a playground, the challenge level of a playground, or both. In some embodiments, the methods and systems may propose modifications to a playground that would result in an effective and efficient increase in the play value of the playground, a desired increase or decrease in the challenge level of the playground, or both. Further, in some embodiments, the methods and systems may be configured to provide comparisons of various playgrounds in order to determine which playgrounds are of greatest play value. In some embodiments, the methods and systems may be incorporated into software that is configured for the design of playgrounds.

Abstract: A method for forecasting includes obtaining input data from a data store, using a processor to forecast future data with a currently selected model, detecting a trigger event using a processor, training alternative models in a model family or from multiple families on the input data based on detecting in response to detecting the trigger event, identifying a replacement model from the alternative models using a processor, and using a processor to forecast future data with the replacement model.

Abstract: A system and method of automatically detecting pricing loops by generating a price-history database and searching the database for recurring pricing update patterns. If a price update pattern is detected, then the price republishing is blocked until a next event occurs to interrupt the pricing loop. A pricing engine searches the price-history database before publishing a new price. If a past price recurs multiple times over a predetermined time period, then it is saved as a candidate value for a pricing loop. A current price to be published is compared to the candidate value, and if there is a match, then the current price is suppressed.

Abstract: A method and system for ranking products using similarity propagation. The method incudes calculating a total score of a product based on its own score and a propagated score. The propagated score is determined by looking at a similarity distance value and then applying a similarity distance factor to a product's score to determine a propagated score for a new product.

Abstract: The invention relates to a computer-implemented system and method for providing data science as a service (DSaaS) using a real time data prediction contest. Participants in the real time data prediction contest are permitted to execute and submit algorithms, utilize third party data sources, and utilize sub-contests to generate data predictions for the data prediction contest. The participants in the data prediction contest may be humans or software robots. A category of sponsor confidential information related to the data prediction is defined and maintained as confidential by the sponsor, while various methods are implemented to obtain relevant algorithms and data for the data prediction. The sponsor receives data predictions from the participants on a real time or near real time basis, calculates a score for the data predictions, and compensates participants according to their score.

Abstract: An abstraction system for generating a standard customer profile in a data processing system has a processing device and a memory. The abstraction system may receive customer data from a computing device over a network, perform unsupervised learning on the customer data to produce a plurality of clusters of customers with a plurality of features in common, and determine that a cluster represents a standard customer, and store a plurality of standard customer profiles based on the determined standard customers, wherein the standard customer profiles comprise a plurality of data distributions for the plurality of features in common. The abstraction system also derives additional standard customer profiles by applying a boundary limiter to the customer data. The abstraction system additionally provides the standard customer profiles and the additional standard customer profiles to a cognitive system for generating synthetic transaction data.

Abstract: The present disclosure relates to the technical field of automated warehousing, and relates to an inventory scheduling method and device and a non-transitory computer readable storage medium. The method of the present disclosure includes: obtaining an order to be picked, the order to be picked comprising a kind(s) of goods to be picked; determining order processing capability information of each of a plurality of picking workstations, according to at least one of position distribution information of a rack(s) storing at least one kind of the goods to be picked relative to each of the picking workstations, position distribution information of an available transfer machine(s) relative to each of the picking workstations, or load information of each of the picking workstation; and allocating the order to be picked to one of the picking workstations according to the order processing capability information of each of the picking workstations.

Abstract: A device may receive customer data, and may identify unique communication channels associated with the customer data. The device may determine, based on the customer data, an optimal order for a Markov chain model, and may determine a model accuracy of the Markov chain model based on the optimal order. The device may transform transitions in the Markov chain model, based on the customer data, to generate transformed transitions, and may process the customer data, with a multi-level indexing model and based on the unique communication channels and the transformed transitions, to generate sparse matrices. The device may determine removal effects and steady state values for the sparse matrices, and may determine attribution weights for the unique communication channels based on the Markov chain model with the optimal order, the removal effects, and the steady state values. The device may perform actions based on the attribution weights.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of calculating a halo weight for at least one item of a set of items, where the halo weight can comprise an effect sales of the at least one item has on sales of the set of items; calculating an item-wise elasticity for the at least one item; calculating a line-wise elasticity for the at least one item of the set of items; calculating an aggregate elasticity for the at least one item using the item-wise elasticity and the line-wise elasticity; calculating a demand forecast for the at least one item of the set of items; optimizing an objective function comprising the halo weight, the aggregate elasticity, the demand forecast, and at least one external constraint; adjusting at least one price of the at least one item based on the objective function, as optimized; and displaying the at least one price, a

Abstract: In various embodiments, a scheduling application automatically determines the timing of linearly dependent events. In operation, the scheduling application detects that a first event included in an original scheduled sequence of events has not completed by a scheduled completion time based on a current time. The scheduling application then determines that a second event included in the original scheduled sequence of events has a dependency on the completion of the first event. Subsequently, the scheduling application updates one or more temporal properties associated with the second event based on the current time to generate a third event. The scheduling application then generates, via a processor, a modified scheduled sequence of events that includes the third event instead of the second event. Advantageously, automatically adjusting the timing of linear dependent events based on the current time reduces inefficiencies associated with conventional scheduling techniques.