Abstract: A network-based communication fulfillment system includes a communication resource allocation server configured to receive a request for a communication service from a business user, wherein the communication service includes electronic communications and physical mailing pieces to be sent to recipients, an intelligent communication design server that can automatically create designs for the electronic communications and the physical mailing pieces, a communication server that can transmit the electronic communications to the recipients, and one or more product fulfillment centers that can print and finish the physical mailing pieces to be mailed to the recipients.

Abstract: A vehicle dispatch service boarding location determination method uses a vehicle dispatch information data server and a terminal to determine a boarding location for a dispatched vehicle based on a vehicle dispatch request from the terminal. When there is a vehicle dispatch request, position information of a vehicle dispatch request point is acquired. Boarding location candidates present in a periphery of the vehicle dispatch request point are calculated based on the position information point and map information. A boarding location recognition difficulty, which is a difficulty for the user in recognizing the boarding location candidate as a boarding location, is calculated for each of the boarding location candidates. A boarding location candidate for which the boarding location recognition difficulty is low among the boarding location candidates is determined as the boarding location where the user will be picked up by the dispatched vehicle.

Abstract: A computer-implemented method for determining agricultural revenue is provided. The method uses an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, calculating at least one yield projection for the field region based on the field definition data and the subset of the plurality of input data, and providing the at least one yield projection to a user device.

Abstract: Methods of verifying an onboard presence of a passenger of a transportation vehicle are provided. A method of verifying an onboard presence of a passenger of a transportation vehicle includes generating, via a wireless electronic device of the passenger while on board the transportation vehicle, different first and second data indicating the onboard presence of the passenger. Moreover, the method includes transmitting the different first and second data indicating the onboard presence of the passenger from the wireless electronic device to a server. Related wireless electronic devices, servers, and computer program products are also provided.

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 method including operations of displaying a scheduling interface including a first work item user interface element corresponding to a first work item, the first work item user interface element displayed to visually indicate a scheduled start date of the first work item and a scheduled end date for the first work item; receiving forecast data generated in respect of the first work item; determining, based on the forecast data, a first forecast range in respect of the first work item; and displaying a first forecast user interface element on the scheduling interface, the first forecast user interface element corresponding to the first work item and having an appearance based on the first forecast range.

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: 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: The present disclosure includes computer implemented techniques for providing a survey to a user. In one embodiment, a software application receives an audio stream including utterances spoken by the user interacting with a voice-user interface of the application. The application then determines a set of paralinguistic features from the audio stream and estimates at least a first attribute of the user based on the set of paralinguistic features. The application selects survey content based on a value of the first attribute and transmits a survey including the selected survey content to the user.

Abstract: A system and method for workforce scheduling using dynamic capacity ranges are provided. A capacity model associates distances of locations within a service area from a depot with a series of appointment time windows such that appointment time windows having a relatively greater amount of available worker capacity are associated with a greater range of distances than appointment time windows having a relatively smaller amount of available worker capacity. After a distance from the depot to a location of an appointment to be scheduled is determined, appointment time window suggestions are automatically produced based on which appointment time windows as defined in the capacity model are associated with the location of the appointment to be scheduled. As capacity changes due to bookings, the capacity model is dynamically updated. A system and method for workforce routing, based at least in part on using dynamic capacity ranges, are also provided.

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: A compliance management system captures an interaction between an enterprise entity and enterprise data subject to a compliance regulation. The compliance management system analyzes the interaction to determine whether the interaction is non-compliant with one or more sections of the compliance regulation and executes a remediation workflow corresponding to each section of the compliance regulation for which the interaction is deemed non-compliant. The compliance management system monitors the remediation workflow to update a compliance status for the corresponding section of the compliance regulation and generates a compliance report listing the sections of the compliance regulation and the compliance status of each section.

Abstract: An apparatus for predictive scoring, the apparatus comprising a processor and a display device. The processor is configured to receive a posting query, generate a past posting datum, determine predictive metrics as a function of the posting query, and provide a score related to an expected value of a posting. The display device is configured to display a predictive score to the originator.

Abstract: A method may include applying, to a content associated with a first supplier, a machine learning model to determine one or more objectives of an enterprise affected by an incident associated with the content. A change in a first risk associated with the first supplier may be detected based on the objectives affected by the incident. In response to detecting the change in the first risk of the first supplier, a cost associated with replacing the first supplier with the second supplier may be determined by applying the machine learning model to analyze a first electronic document associated with the first supplier. If the cost of replacing the first supplier with the second supplier and/or a second risk of the second supplier satisfy one or more thresholds, a second electronic document associated with the second supplier may be generated to address the second risk of the second supplier.

Abstract: As described herein, a machine learning system, method, and computer program provide marketing segmentation of residential spaces. In use, network usage data is collected from each residential network router of a plurality of residential network routers operating in a different residential space of a plurality of residential spaces. Additionally, the network usage data is processed by a machine learning algorithm to segment the plurality of residential spaces into a plurality of segments. Further, the plurality of segments are output.

Abstract: A system may receive driving information associated with a first driver of a shared mobility service, the driving information comprising processed sensor data received from one or more sensors of a vehicle associated with the first driver. Subsequently, the system may determine, based on at least one of recorded audio signals and a wireless signal, one or more time periods during which the first driver was transporting at least one passenger of the shared mobility service. Thereafter, the system may determine, based on correlating the driving information with the one or more time periods, a first score for the first driver. Then, the system may transmit a notification of a ride opportunity to the first driver responsive to determining that the first score for the first driver is higher than a second score for a second driver.

Abstract: According to some embodiments, a communication device database may store information about a plurality of communication devices, including at least one communication address associated with each communication device, wherein each communication device is associated with a resource unit. Moreover, a network based segmentation server may access information in a resource status database, automatically assign each resource unit to a resource segment based on at least one pre-determined algorithm and information in the resource status database, and transmit information about the resource segments.

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: This disclosure relates generally to methods and systems for predicting wait time of queues at service area such as market places including retail stores and super markets. The present methods and systems accurately predicts the wait times of the plurality of queues by utilizing various visual cues of the customers, along with the number of service items and the efficiency of the service operator. The visual cues including a demographic factor such as age, gender, ethnicity of the customer and a senti-motional factor such as sentiments including positive attitude or negative attitude and emotions of the customers including happy state, sad state, and irritation state of the customer. The customers may choose the queue having least predicted wait time and may take informed decision hoping for faster check-out, based on the predicted wait times of the queues. Hence, customer experience and customer satisfaction may be achieved.

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.