Abstract: Described herein are systems and techniques for segregating different types of auto-generated enterprise communications, identifying actionable items found within the enterprise communications and automatically generating a list of unified events/tasks for presentation to a user. The systems and techniques utilize templates to identify a communication. Once a communication is identified, rule sets are applied to parse the communication and generate an event which can be presented to a user as part of an event/task list. Described systems and techniques may process different type of communications such as email and real-time communications, parses each type of communication and generate a unified event/task list (i.e. a single task list which includes events from emails, real time messages and other communication channels) which can be presented to a user.

Abstract: A graphical user interface (GUI) may be provided by a computing system that implements a database system for presentation at a client device. The GUI may display a designated one or more criteria for selecting one of a plurality of recommendations for a target object instance associated with a designated object definition. A predictive model for determining a propensity score for selected ones of the plurality of recommendations in association with the target object instance may be configured. The propensity score may be a function of one or more data field values associated with the target object instance and may be configured based on user input received via the graphical user interface. The predictive model may be stored on a storage medium for retrieval when selecting recommendations in response to requests received to access instances of the designated object definition.

Abstract: This document describes a computer-implemented method that includes receiving, over a network, at least one of text, audio, image, or video data associated with an entity of interest; identifying, based on the received data, a set of entity-specific candidate features; loading a feature library comprising a plurality of features that are each assigned to one or more feature spaces; and selecting, using a feature selection engine, one or more features from each of the feature spaces based on the set of entity-specific candidate features.

Abstract: According to one embodiment, a customer relationship management (CRM) system is queried to obtain a project that is associated with an entity (e.g., a user, a group of users, a client). A first list of one or more contacts (e.g., contact persons, referred to herein target contacts) associated with the project from the CRM system. For each of the contacts in the first list, a domain name is determined based on contact information of the contacts (e.g., emails, Web addresses, name of an account associated with the contacts). A first set of email addresses, referred to as target email addresses, is determined based on the domain name and contacts using a set of email identification rules. An email server is queried to retrieve a list of one or more emails and/or calendar events based on the first set of email addresses.

Abstract: Methods and devices for providing information of a stored object are disclosed. An example method may comprise: acquiring a three-dimensional spatial model of a storage space, the three-dimensional spatial model comprising storage location information corresponding to at least one object stored inside the storage space; determining a target object stored inside the storage space, and determining a target storage location of the target stored object based on the three-dimensional spatial model; obtaining a navigation route based on location information of an augmented reality (AR) device and the target storage location; and rendering corresponding navigation information over the storage space as viewed from the AR device.

Abstract: A method of comparing performance of a first entity and a second entity uses performance indexing based on comparable performance metrics. A first entity performance rate and a first growth ability for the first entity are determined based on a first plurality of entity characteristics for the first entity. The first performance rate and the first growth ability are weighted based of the first plurality of entity characteristics and a first entity index value is determined based on the weighted first performance rate and first growth ability. A comparison between the first entity and the second entity is generated using the first entity index value and a second entity index value for the second entity.

Abstract: Systems and techniques for voice enabled assistant for community demand fulfillment are described herein. A community of user devices may be identified that are registered with a voice-based supply and demand matching service. A supply of an item may be determined based on first user audio collected from a first user device of the community of user devices. A demand for the item may be determined based on second user audio collected from a second user device of the community of user devices. An indication of the supply may be transmitted to a user of the second user device.

Abstract: In a restaurant having a customer-facing food service counter, a video camera is positioned to produce video of an area that includes the food service counter. The video is analyzed to determine the ingredients that are used to prepare each of multiple customer meals. This information may be used to recommend a modified ingredient layout of the food service counter, where the modified ingredient layout is formulated so as to improve serving efficiency or customer convenience.

Abstract: Methods and systems of assigning an appraiser to perform a task are provided. A request may be evaluated to identify elements corresponding to the request. The elements may be evaluated to determine the task having a task a task parameter, such as conducting an appraisal. The task may comprise accepting an appraisal order, contacting a property owner, setting up a meeting, identifying comparable properties, confirming an appraisal time, submitting the appraisal report, or submitting a satisfaction survey. An appraiser database may be assessed to identify a group of appraisers having appraiser characteristics corresponding to the task parameter. Appraisal scores may be determined for the appraisers within the group of appraisers. The task may be assigned to an appraiser within the group of appraisers based upon the appraisal scores. Responsive to the task being assigned to the appraiser, an assignment notification may be provided to the appraiser.

Abstract: A system and method are disclosed for analyzing the maturity of one or more supply chain entities according to competencies of an omni-channel retailer. The one or more supply chain entities including a retail manager that assesses the one or more supply chain entities according to one or more competencies and determines one or more maturity gaps associated with the one or more competencies. The retail manger further identifies one or more transition projects that fill the one or more maturity gaps and roadmaps one or more transition activities that generate the one or more identified transition projects. The one or more supply chain entities further adjusts an inventory of one or more products at least partially based on the one or more roadmapped transition activities.

Abstract: A system, method and device for waste measurement for garbage truck fleets operated by waste pickup service are provided. The waste measurement device comprises one or more visible light cameras; one or more volume sensors; and a controller. The waste measurement device is deployed in front of a hopper of the garbage truck and the device is configured to measure the waste volume in the hopper using the volume sensors. The method calculates the waste volume emptied from the waste container by at least subtracting the measurement of the volume in the hopper before loading from the measurement of the volume after loading. The system manages the waste pickup services having garbage truck fleet with the waste measurement devices. The system optimizes and monitors the system operation conditioned upon the measurements provided from the waste measuring devices.

Abstract: Certain aspects of the present disclosure provide techniques for hierarchical optimization including: receiving a request to optimize a primary objective; determining a set of stages to optimize the primary objective; for each respective stage of the set of stages: determining an objective function; when the respective stage is the first stage to be processed: determining values of a set of variable inputs to the respective stage and an output of the objective function; when the respective stage is not the first stage: updating a set of fixed inputs to the respective stage by including the variable inputs to one or more previously processed stages and their corresponding values to the set of fixed inputs to the respective stage; determining values of the set of variable inputs to the respective stage and output of the objective function for the respective stage; providing a final output for display on a display device.

Abstract: The present teachings relate to a method of maintaining a vehicle availability report with respect to a first location comprising determining the number of vehicles of a first type within a predetermined geofence at the first location determining the number of vehicles of the first type due to leave the first location within a predetermined time period determining whether the number of vehicles of the first type within the predetermined geofence is more than, equal to or less than the number of vehicles of the first type due to leave the first location within the predetermined time period and updating the vehicle availability report based on a result of each determining step.

Abstract: Implementations are described herein for using machine learning to determine whether candidate crop fields are suitable for management by particular agricultural entities. In various implementations, a machine learning model may be applied to input data to generate output data. The input data may include a first plurality of data points corresponding to field-level agricultural management practices of an agricultural entity. The output data may be indicative of one or more predicted outcomes of the agricultural entity implementing the field-level agricultural management practices on one or more candidate crop fields not currently managed by the agricultural entity. Based on one or more of the predicted outcomes, one or more computing devices may be caused to provide a user associated with the agricultural entity with information about one or more of the candidate crop fields, and/or one or more parameter inputs of a graphical user interface may be prepopulated.

Abstract: A benefit prediction requirement may be received and associated benefit data from a plurality of sources may be obtained. The benefit prediction requirement may be associated with determining a probability of a benefit being surrendered by a benefit user. Further, a plurality of benefit attributes may be identified and mapped with benefit user data to create a benefit surrender database. From the benefit surrender database, a survival probability and a hazard probability may be determined and benefit assessment data may be created therefrom. Based on the benefit assessment data, a benefit surrender prediction model including a surrender probability may be created and a surrender pattern of the benefit user may be determined. Furthermore, a benefit surrender result may be generated and a remedial action in response to the benefit prediction requirement may be performed.

Abstract: This work plan management system is provided with a component replenishment management unit for managing a plan for component replenishment work to be performed on component supply devices; and an ancillary work management unit for managing a plan for ancillary work. The component replenishment management unit includes a component supply monitoring unit and a replenishment target specifying unit. The component supply monitoring unit specifies, for each of the component supply devices, replenishment possibility time windows during which component replenishment work is possible. The replenishment target specifying unit recognizes overlapping replenishment time windows in which the individual replenishment possibility time windows overlap, and specifies component supply devices on which it is possible to perform component replenishment work during the overlapping replenishment time windows.

Abstract: Existing approaches for item matching that are used for retail strategies are based on similarity matching, however, do not consider user mindset, magnitude present across quantitative AVs and segment specific customer interest on certain qualitative AVs. Embodiments of the present disclosure provide a method and system for Machine Learning (ML) based item matching by considering user mindset, magnitude present across quantitative AVs and segment specific customer interest on certain qualitative AV. The item matching approach disclosed, performs data analytics at the AV level to identify possible close matching items from the list of available partially matching as well as non-matching items. The method disclosed primarily performs Attribute (AT) enrichment by quantizing all the qualitative AVs to be analyzed. Weights are assigned to all the quantized AVs based on a Demand Transfer (DT) value provided by a Customer Decision Tree (CDT), wherein the CDT captures the user mindset.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing projects in a content management system. In some embodiments, a content management system can generate a graphical user interface that presents a centralized view of a project. For example, the project can include project members, content items, tasks assigned to project members, communications between project members and activity history for the project. The graphical user interface can present this project data (e.g., project members, content items, tasks, communications, activity, etc.) so that a project member can easily and quickly view multiple aspects of the project.

Abstract: A method of expert peer identification includes receiving, from a user, a request for an expert peer for an asset type, and obtaining asset interaction data relevant to the request including a list of assets, and, for each asset on the list, values for each of a set of pre-defined interaction categories for each worker that has interacted with the asset. The method further includes, for each asset on the list, respectively multiplying the interaction category values by a corresponding set of category weights to obtain a set of weighted interaction values, and, for each worker, processing the sum of their weighted interaction values to obtain an overall centrality measure. The method also includes selecting one of the workers as the expert peer based, at least in part, on their overall centrality measure, and identifying the expert peer to the user.

Abstract: The present disclosure relates to generating and utilizing digital associations between digital documents and digital calendar events based on determined content connections. For example, one or more embodiments suggest a digital document to a user for association with a digital calendar event based on content connections between the digital document and the digital calendar event. In particular, one or more embodiments determine a content connection based on document characteristics (e.g., document content and access characteristics) and calendar event characteristics (e.g., calendar content and historical meeting information). For example, the system can train a machine learning model to determine content connections based on document characteristics and calendar event characteristics.