Abstract: A data processing system implements receiving textual content from a first application on a first client device associated with a first user for analysis by a context adaptive writing assistant configured to provide suggestions for improving the textual content, obtaining contextual information indicative of a level of formality of the textual content; and categorizing the textual content as being associated with a first level of formality selected from a plurality of levels of formality. The system is further implements analyzing the textual content to identify one or more suggested improvements to the textual content; selecting a subset of suggested improvements from the one or more suggested improvements to the textual content to the first user based on the first level of formality associated with the textual content; sending the subset of suggested improvements to the first client device; and causing the first client device to display the subset of suggested improvements.

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 for an order comprising one or more items; determining when the order is eligible for batch picking by finding one or more other orders comprising at least one of the one or more items; and when the order is determined to be eligible for batch picking with the one or more other orders: creating one or more clusters by clustering together (1) the at least one of the one or more items of the order and (2) the at least one of the one or more items of the one or more other orders; estimating, for each respective cluster of the one or more clusters, an estimated fulfillment time interval to make ready the order; and assigning each respective cluster of the one or more clusters to at least one respective picker of one or more respective pickers. Other embodiments are disclosed herein.

Abstract: A system includes a computing device to receive medical information associated with a particular patient, compare immunization records for the particular patient with a recommended immunization schedule for the particular patient and determine that there is at least one immunization to be scheduled for the particular patient, schedule the at least one immunization for the particular patient based on at least one factor comprising a spoken language of the particular patient, a location of the particular patient, and acceptance of insurance for the particular patient for a healthcare provider, and generate an alert in realtime for the healthcare provider when the particular patient arrives at the healthcare provider for the at least one immunization scheduled for the particular patient.

Abstract: Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: An AI-based system and method for monitoring health conditions is disclosed. The method includes capturing at real-time a multimedia data of a ROI and identifying location of one or more image capturing devices. The method includes identifying one or more proximal mobile servers in proximity to the ROI, retrieving one or more ROI parameters from a storage unit and determining one or more travel. Furthermore, the method includes establishing a communication session between the one or more image capturing devices and the set of most optimal mobile servers upon, generating a command by analyzing the retrieved one or more ROI parameters, the identified location of the one or more image capturing devices and the determined one or more travel parameters by using a data management-based AI model and performing the one or more operations for monitoring health conditions of one or more animals based on the generated command.

Abstract: Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: Systems and methods are directed to providing personalized text proofing. A user model that is used to personalize generic critiques for text proofing a document is generated based on user signals indicating past user actions. During runtime of an application used to create the document, the user model is accessed and locally cached. User inputs comprising typed components used to create the document are received and a set of one or more generic critiques for the user inputs is accessed from an editor system. The user model is applied to the set which may modify a generic critique of the set. The modifying of the generic critique can cause the generic critique to be automatically applied or suppressed at the client device. The set including the modified generic critique is transmitted to a user device, whereby the user device applies the set to the document including automatically applying or suppressing the modified generic critique.

Abstract: A system and method for animal disease management is disclosed. The method includes receiving one or more images, one or more videos of one or more animals or a combination thereof and identifying one or more faces of the one or more animals in the one or more images, the one or more videos of one or more animals or a combination thereof. The method further includes extracting one or more facial features and one more muzzle features from the one or more faces and determining one or more facial changes and one or more muzzle changes. The method includes detecting presence or absence of one or more diseases in the one or more animals, predicting likelihood of the one or more diseases or a combination thereof based on the one or more facial changes, the one or more muzzle changes and the predefined information.

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 for an order comprising one or more items; determining when the order is eligible for batch picking by finding one or more other orders comprising at least one of the one or more items; and when the order is determined to be eligible for batch picking with the one or more other orders: creating one or more clusters by clustering together (1) the at least one of the one or more items of the order and (2) the at least one of the one or more items of the one or more other orders; estimating, for each respective cluster of the one or more clusters, an estimated fulfillment time interval to make ready the order; and assigning each respective cluster of the one or more clusters to at least one respective picker of one or more respective pickers. Other embodiments are disclosed herein.

Abstract: A number of embodiments can include a system. The system can include one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions. The computing instructions can be configured to run on the one or more processors and perform: receiving a request for a picked order that can comprise: a conveyance type; and one or more goods; estimating a fulfillment time interval to make ready the one or more goods of the picked order by: evaluating whether the picked order is able to be batched in a picked order batch; and when the picked order is able to be batched, evaluating the conveyance type to determine a conveyance type average fulfilment time interval; determining, using the fulfillment time interval, as estimated, and the conveyance type average fulfilment time interval, a receivable clock time at which to promise the one or more goods for receipt by a receiver; and communicating the receivable clock time to an electronic device of the receiver.

Abstract: A number of embodiments can include a system. The system can include one or more processors and one or more non-transitory computer-readable storage devices storing computing instructions.

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 for an order comprising one or more items; determining when the order is eligible for batch picking by finding one or more other orders comprising at least one of the one or more items; and when the order is determined to be eligible for batch picking with the one or more other orders: creating one or more clusters by clustering together (1) the at least one of the one or more items of the order and (2) the at least one of the one or more items of the one or more other orders; estimating, for each respective cluster of the one or more clusters, an estimated fulfillment time interval to make ready the order; and assigning each respective cluster of the one or more clusters to at least one respective picker of one or more respective pickers. Other embodiments are disclosed herein.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: An object gripping assembly and associated systems and methods are disclosed herein. In some embodiments, the object gripping assembly includes a first carrying plate with a first mounting track extending along a first axis and two or more second carrying plates movably carried by the first mounting track. Each of the two or more second carrying plates can include a second mounting track extending along a second axis at least and extendable gripping components movably carried by the second mounting track. A first pitch adjusting component can be operably coupled the two or more second carrying plates to controllably change the pitch of the two or more second carrying plates along the first mounting track. A second pitch adjusting component can be operably coupled to the extendable gripping components on a corresponding second carrying plate to controllably change the pitch of the extendable gripping components along the second mounting track.

Abstract: The systems and methods relate to a self-serve diagnostic experience that enables users to help themselves when issues or problems emerge with a customer workload. The systems and methods provide an interactive interface that guides users through a troubleshooting journey. Users may enter a problem with a customer workload using the interactive interface and may receive one or more insights automatically generated by one or more detectors based on an analysis of the backend telemetry data for the customer workload. The insights may provide contextual information about the issues and recommendations for steps to fix the issues. The interactive interface may also provide a visual overview of a plurality of resources, the resource dependencies, and the resource health for the plurality of resources. The systems and methods may also guide users in building one or more detectors for troubleshooting the one or more issues.

Abstract: Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.

Abstract: A system for rush order fulfillment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: Methods and systems and computer-readable media are provided for dual optimization of pick walk and tote fill rates in order picking. Embodiments provide improved order picking speed and quality by optimizing pick routing with consideration of both proximity constraints and tote value constraints. Tote value constraints can include constraints on carrying capacity, volume, size in a particular dimension, or weight capacity.