Abstract: A computer device includes a delivery management interface. The device receives a delivery operation on the delivery management interface. The device obtains target delivery information via an information management sub-module, The device obtains, according to the target delivery information, at least one piece of management sub-information corresponding to at least one management sub-module. The information management sub-module and the at least one management sub-module are distinct modules of a delivery management domain. The device processes the at least one piece of management sub-information using the at least one management sub-module. The device displays the target delivery information on the delivery management interface according to the processing result. The device also causes a display device to display the target delivery information according to separate modules corresponding to a delivery display domain.

Abstract: A computing device for analyzing data from user spending patterns to determine offers to be presented to credit card customers comprises a processing element configured to: receive transaction data for a plurality of transactions for each of a plurality of credit card numbers; input the transaction data into an encoder that performs linear transformations and nonlinear transformations to produce latent space data with each latent space data point being associated with one credit card number; input the latent space data into a clustering element which associates each credit card number with one of a plurality of clusters; and make an upgrade offer to credit card numbers that have a normal credit status and which are associated with clusters that include credit card numbers that have a preferred credit status.

Abstract: Disclosed are various embodiments for sales lead generation utilizing a photo of a unique identifier or identifiers of a vehicle at a store. In another aspect a method for generating a sales lead from a photo of a vehicle with a unique identifier is disclosed. The method first provisions a relational database with a dataset of unique vehicle identifiers. Next, is provisioning the field device with a sales/lead application. Then executing the sales/lead application on non-transitory memory of the field device. Then capturing a photo of a vehicle with a unique identifier. Next, transmitting photo to a central system. Then processing the photo for optical character recognition with an image analysis module. The method then generates the unique vehicle identifier from the photo. Next, it accesses the relational database to perform a lookup of the unique vehicle identifier. Lastly, it generates a sales lead based on at least the unique vehicle identifier.

Abstract: The present disclosure provides a method and system to perform switching and handover between one or more intelligent conversational agents. The system receives a first set of data in real-time. The system collects a second set of data in real-time. The system fetches one or more queries from a plurality of users for a mega bot. The system analyses the first set of data, the second set of data and the one or more queries using one or more machine learning algorithms. The system selects a suitable intelligent conversational agent from the one or more intelligent conversational agents having a trust score above a threshold level. The system switches between the one or more intelligent conversational agents in the mega bot interacting with the plurality of users based on a plurality of aspects of corresponding query of the one or more queries and a plurality of factors.

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: 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 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: 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: 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.