Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving, from one or more electronic devices of one or more users, one or more orders for pickup at a location during a first window of time; at a first time during the first window of time, determining when a designated pickup area at the location exceeds a predetermined level of congestion using: (1) continuously received mobile check-ins at the location; and (2) congestion data of the designated pickup area at the location; and when the designated pickup area at the location does not exceed the predetermined level of congestion during the first window of time, as determined at the first time, causing a pickup electronic device of a pickup to display a pickup request at the location to fulfill at least one order of the one or more orders during the first window of time. Other embodiments are disclosed herein.

Abstract: Discussed herein are devices, systems, and methods for dynamic IPB product updates or generation. A method can include storing, by a memory device, information used to generate IPB products, receiving, by a server coupled to the memory device, a request for an IPB product of the IPB products, receiving, by the server and from the memory device, information that satisfies conditions of a query, generating the requested IPB product based on the received information, and providing the requested IPB product to a client device.

Abstract: This disclosure covers systems and methods that administer a digital survey to respondents who interact with a biometric sensor to collect and convert biometric data into behavioral and physical characteristics of the respondents. In certain embodiments, by converting biometric data into respondent characteristics, the disclosed systems and methods identify various unwritten or nonverbal responses of survey respondents who respond to a digital survey or who interact with a display medium that captures survey data. To facilitate review of respondents' characteristics and responses, in some embodiments, the disclosed systems and methods further categorize the converted respondent characteristics within a response database for the digital survey.

Abstract: A method for identifying a primary vehicle associated with a user of a mobile device includes receiving an indication of a vehicle entry event from a mobile device and retrieving sensor data from the mobile device. The method further includes receiving an indication of a vehicle exit event from the mobile device, generating a trip log including portions of the sensor data, and storing the trip log in a trip database. A server, or other suitable computing device, then analyzes the trip log and a plurality of previously stored trip logs in the trip database to determine a primary vehicle corresponding to the user of the mobile device. The method may allow a computing device to assign gathered mobile device data to a specific household vehicle.

Abstract: A computer-implemented method that includes receiving a request for a target vehicle including input data associated with an operator, a geographic location, and the target vehicle. The method includes determining a depreciation rate based on third-party transaction data retrieved from databases in accordance with the input data associated with the target vehicle, and a decommission rate based on third-party ownership data retrieved from databases in accordance with the input data associated with the target vehicle. The method includes determining a deterioration rate based on local environmental data retrieved from databases in accordance with the input data associated with the geographic location, and generating a regression model configured to compute an estimated value of the target vehicle during a lifetime of the target vehicle using the input data, depreciation rate, decommission rate, and deterioration rate. The method includes determining an output in response to the request for the target vehicle.

Abstract: Examples described herein generally relate to a system for monitoring workers in a retail environment. The system may include a plurality of cameras located in different regions of the retail location and configured to capture a video feed of a respective region. The system may include a computer system comprising a memory storing computer executable instructions. The system may provide a video feed of at least one region of the retail environment to a machine learning classifier, the machine learning classifier trained on labeled videos, to classify a sequence of images of a worker into a probability certainty of an activity being performed by the worker. The processor may determine, based on the probability certainties generated by the machine learning classifier over a period of time, an activity schedule of the worker. The system may determine labor productivity statistics based on the activity schedule.

Abstract: Methods and apparatus are disclosed to identify users associated with device application usage. A disclosed example method involves obtaining demographics of persons to participate in a panel for an audience research study, identifying a set of applications to be monitored, providing devices associated with the persons in the panel with a meter to record usage of the applications and with a user-to-application associator, the user-to-application associator to define associations between the applications to be monitored and the persons associate with the device before the applications are launched, receiving data from a first one of the devices identifying a first one of the persons as a primary user of a first one of the applications in the set of applications, receiving data from the first device identifying usage of the first application, and associating the demographics of the first person with the usage of the first application.

Abstract: A system includes a data storage medium to store a plurality of user profiles and at least one work project, each of the work project including at least one task that is characterized by a task definition, and a processor to receive a request for work from a user, the processor including a task management engine to allocate the at least one task to the user based on the user profile and the task definition in response to the request for work.

Abstract: Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.

Abstract: Systems and methods for planning and optimizing the mitigation of projected effects of possible disruptive events, whether natural or human-initiated, on critical infrastructure or key resources, which critical infrastructure or key resources may be damaged, the functionality of which may be otherwise altered or which may become unavailable as a result of the occurrence of such events, are disclosed.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a request from a user; determining, using a regression analysis, an estimated order collection time for a collection of the one or more items of the order list by at least one collector; continuously monitoring a respective location of each respective delivery driver; continuously determining a respective estimated order pickup time for each respective delivery driver; and instructing the first delivery driver of the one or more delivery drivers to pick up the one or more items and deliver the one or more items to the delivery address. Other embodiments are disclosed herein.

Abstract: A method of responding to a criterion-based request for information collected from users meeting the criterion while complying with a user-requested privacy requirement. In one embodiment a request is received for data comprising facial or audio expressions for users who meet the criterion. A program monitors activities indicative of user attention or user reaction based on face tracking, face detection, face feature detection, eye gaze determination, eye tracking, audio expression determination, or determination of an emotional state. When a user requests a high level of privacy, the timestream data collected for the user is aggregated with timestream data collected for other users into a statistical dataset by processing the timestreams to ensure the high level of privacy in the statistical dataset which is provided to a content provider without providing data collected for the user who has requested the high level of privacy.

Abstract: A system and method are disclosed for segmentation planning wherein a cost-to-serve interval and a value interval are used to generate a strategy for a micro-segment defined along a portion of the cost-to-serve interval and value interval, and similar micro-segments may be assigned to a single persona based on similar cost-to-serve and value tradeoffs.

Abstract: One embodiment of an existing customer lead generation system comprises a vendor customer information database, a vendor criteria database, a web server, a matching engine, and a transmission component. The vendor customer information database identifies vendor's existing customers. The vendor criteria database determines which leads each vendor wants to receive. Separate criteria may be specified for consumers that are existing customers and consumers that are not existing customers. The web server receives characteristics of a consumer and a product or service. The matching engine compares the consumer characteristics with the vendor customer information database to identify vendors for which the consumer is an existing customer. The matching engine applies existing customer criteria to match the consumer with existing vendors. The matching engine applies non-existing customer criteria to match the consumer with other vendors.

Abstract: A system and method for assigning an agent to execute and fulfill a task request that include receiving the task request that includes at least one request attribute. The system and method also include determining an agent pool to execute and fulfill the task request in accordance with the at least one request attribute and determining a plurality of candidate locations at which to execute and fulfill the task request in accordance with the at least one request attribute. The system and method additionally include assigning a task execution location and a task fulfillment location from the plurality of candidate locations at which to execute and fulfill the task request. The system and method further include assigning the agent from the agent pool to execute and fulfill the task request.

Abstract: A system and method for processing a task request to be executed and fulfilled that include receiving at least one data input. The system and method additionally include determining the task request based on the at least one data input and determining at least one request attribute associated with the task request. The system and method also include assigning an agent to execute and fulfill the task request based on the at least one request attribute. The system and method further include creating the task to execute and fulfill the task request.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving, at the one or more processors, an order from a customer electronic device; determining, using employee device data collected from one or more electronic devices of one or more employees of a store in a predictive analysis, an estimated collection time required for an employee of the one or more employees of the store to collect the one or more items of the order; receiving a check-in from an electronic device indicating that a pickup is en-route to pick-up the order; when the electronic device authorizes location tracking, tracking a location of the pickup after receiving the check-in from the electronic device; periodically determining, at one or more time intervals, an estimated travel time for the pickup to travel to the store from the location, as tracked; and when the estimated collection time is approxima

Abstract: Systems, methods, and other embodiments associated with deploying resources are described. In one embodiment, a method includes receiving a service request comprising an activity to be performed, and accessing a database to identify resources eligible to perform the activity, and a remote device associated with the plurality of resources. An electronic invitation to perform the activity is generated, and includes an option that is selectable by each of the plurality of resources to indicate acceptance of the electronic invitation to perform the activity. The electronic invitation is concurrently transmitted to the remote device associated with each of the plurality of resources identified from the data structure. An earliest acceptance of the electronic invitation is received from a first resource over the communication network, and a schedule associated with the first resource is modified to include the service request as a result of receiving the earliest acceptance.

Abstract: In a computerized remapping system for airline seat bookings, actual airline seat bookings are restated in a remapped form reflecting the value of each leg of the booking from a network perspective, facilitating improved demand forecasts for subsequent seat bookings. In this manner, seat protects and seat pricing may be better allocated to align with actual demand.

Abstract: The system determines even-spaced quantiles for network optimization. The system may utilize authorization level to expected network conversion. The system may be used in connection with yield management systems, inventory control systems, or revenue management systems.