Abstract: In various example embodiments, a system and method for digital lists of items are presented. An authentication interface module authenticates a first user device to authorize access to listing services of a web resource of a registered vendor. The web resource can generate an add-item request in response to user input from authorized user devices. The add-item request is linked to a first item of a vendor-item list. A list management module updates a selected-item list to include the first item of the vendor-item list and a notification attribute. A notification management module detects a notification event of the first item based on the notification attribute. In response to a detection of a notification event of the first item, the notification management module provides a notification message to one or more user devices linked to the first user account.

Abstract: A segmentation system utilizes a supervised learning method and a clustering analysis to identify clusters, thereby segmenting a population into groups, where the clusters are associated with various conversion potentials that indicate the probability of an event. The segmentation system employs the supervised learning method to train a model on training data comprising historical conversion data and features associated with members of the group. A subset of features is selected from a ranked order that is determined using weights generated by the supervised learning. A clustering analysis is performed for a population with respect to the subset to generate clusters. A superior cluster is identified based on it having a conversion potential greater than a conversion potential of another cluster. In a marketing context, the system can be employed to identify a superior cluster of users that have a higher conversion potential in response to an advertisement campaign.

Abstract: Various embodiments are disclosed for predicting true demand of network services that impose usage constraints. A computing environment may be configured to provide a network service for a user account, where a usage constraint for the network service is imposed on the user account. A truncated usage distribution of the network service may be generated based on usage history data. A demand curve of the network service may be generated for the user account, where the demand curve comprises at least a portion of the truncated usage distribution and a predicted usage of the at least one network service beyond the usage constraint. One or more actions may be performed based on the demand curve, such as increasing the usage constraint.

Abstract: An online concierge system maintains historical orders received from a user that include one or more items. For items included in one more historical orders, the online concierge system determines an interval between orders including an item, providing an indication of a frequency with which the user orders the item. When the online concierge system receives a request to create an order from the user, in response to an amount of time between a most recently received order including the item and a time when the request was received is within a threshold duration of the interval between orders including the item, the online concierge system selects an item from a category including the item. The selected item may be the item or an alternative item in the category. Subsequently, the online concierge system displays an interface for the user that is prepopulated with information identifying the selected item.

Abstract: A system including broker node device is provided. The broker node device collects operation information associated with first plurality of nodes of first MaaS network. The broker node device determines operational trouble associated with the first plurality of nodes, based on the operation information and receives, from first publisher node of the first plurality of nodes, first transaction message associated with first transaction of first transportation service of the first MaaS network. The first transaction message includes first correlation identifier generated by first publisher node. The broker node device receives, from second node of the first plurality of nodes, first notification associated with receipt of first transaction message at second node. The broker node device determines cause for failure of first transaction based on the first correlation identifier, the first notification, or the operational trouble, and further controls display device to display the cause for failure.

Abstract: Systems and methods of the present disclosure may collect data associated with a user activity. The data may be transmitted from an app running on a computing device with a user account authenticated by the computer-based system. The system may calculate a carbon footprint of the user activity based on the data associated with the user activity. An amount of carbon credits may be assigned to a user account authenticated with the computer-based system based on the calculated carbon footprint of the user activity. A transaction may be written to a blockchain retiring the amount of carbon credits in response to a request to offset a carbon footprint.

Abstract: Provided is an improved apparatus and method for identifying inefficient workers in a workplace. The apparatus receives voice commands from a worker in the workplace and transforms the voice commands into text commands by converting audio signals associated with the voice commands to one or more points in data that are stored in a database. The apparatus further creates a dialogue-stream including the text commands and a time of receipt of each voice command associated with the respective text command. Further, a workflow record may be created from the dialogue-stream and may be used to generate an efficiency metric for the worker. Both the dialogue-stream and workflow record can be used to monitor the efficiency of the worker and implement effective changes to the workflow process.

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 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: 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: Computer-implemented methods for providing real-time customer, patient or accountability, security, consumer and employee metrics include: providing at least one strategic goal; providing at least one metric associated with the at least one strategic goal; providing at least one communication channel between a customer and a company; providing at least one communication code; utilizing the at least one communication code to access the at least one communication channel; providing a survey tool to the customer using the at least one communication channel; capturing data from the survey tool in a database; converting the captured data to the at least one metric; and providing the at least one metric on a dashboard application. An executable software application that implements the computer-implemented method disclosed is also contemplated.

Abstract: A marketing support system includes an acquisition unit acquiring questionnaire information including a response result of a questionnaire and an attribute of a respondent of the questionnaire, the questionnaire conducted to consumers in a product and service field to which a marketing target belongs, regarding recognition, usage experience and frequency of use of a brand belonging to the field, an assignment unit for assigning the respondent to any one of a plurality of segments set in advance based on the response result, an aggregation unit configured to estimate the number of consumers and the ratio of the number of consumers with respect to all the segments based on the number of respondents assigned to each of the plurality of segments, and an output unit configured to display a policy for respective consumers of the plurality of segments and information on costs for the policy for comparison among different segments.

Abstract: A system collects information associated with the work performance and work satisfaction of caregiver's who provide in-home care services to seniors. A machine learning system is trained to predict caregiver attrition and generate a user interface display indicative of a risk an individual caregiver will attrit. The system may also be used to determine action steps to reduce the risk of attrition of a caregiver.

Abstract: Provided is a technique for executing production planning having appropriate responsiveness even when the number of participating companies accommodating resources is increased. A resource accommodation device includes: a resource registration receiving unit that stores a resource registration request including a type of an available resource and an available date and time in a schedule storage unit of a predetermined resource upon receiving the resource registration request; and a resource candidate presentation unit that searches through resources stored in the schedule storage unit upon receiving a type of a requested resource and a date and time of using the resource, selects a resource satisfying a predetermined criterion, and presents the resource as a resource candidate having been selected.

Abstract: According to one embodiment, an operation estimating method comprises presetting a plurality of operation candidates to be estimated, acquiring acceleration data from an activity meter worn by a person being measured, calculating estimated probabilities of the operation candidates from the acquired acceleration data, selecting an operation candidate corresponding to a maximum probability from the calculated estimated probabilities, as an estimated operation, and correcting the estimated operation in consideration of a past operation performance when the maximum probability of the estimated probabilities is lower than a predetermined value.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving an offer request including one or more desired services, and selecting available offerings, each of which include at least one of the desired services. A determination is made whether available benchmarks exist for each of the at least one desired service included in each of the selected available offerings. For each desired service determined as not having available benchmarks, a draft benchmark is computed for each of a plurality of criteria. A confidence weight is also computed for each of the draft benchmarks. The available benchmarks, the draft benchmarks, and the confidence weights are further used to construct an offer which is submitted in response to the received offer request. Moreover, the draft benchmarks and the corresponding confidence weights are re-computed for each of the respective desired services in response to determining that the submitted offer was not accepted.

Abstract: A system and method for providing crowd sourced metrics for broadcast content providers. For determinations of such metrics, user consumption of broadcast content in multiple streams by multiple content providers may be monitored and user consumption information regarding the broadcast content may be obtained. One or more content consumption metrics may be determined to quantify individual user consumption of the broadcast content. Audience metrics may be determined, for a content provider, to inform about users that are available to consume broadcast content provided by the content provider. Events within the broadcast content may be determined and event information regarding individual user consumption of the broadcast content at the event may be obtained. Event metrics may be determined based on the obtained event information to inform about consumption of the broadcast content at the event by users.