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 computer-implemented method and system for process schedule reconciliation receives a scheduling model and an initial schedule for reconciliation, where the initial schedule includes projected plant data. Current plant data is imported into the system, and dynamic optimization data representing trends in process data at time-varied values for key process and operation parameters are identified. The current plant data and projected plant data is processed using mathematical modeling techniques to identify event boundaries, stream flowrates associated with tanks and process units. The system builds an optimization model applying identified event boundaries, stream flowrates, dynamic optimization data, key scheduling parameters and pre-determined constraints along a period of time that includes priority slots to reconcile the projected plant data of the initial schedule with the current plant data, and then solves the optimization model to develop a reconciled schedule.

Abstract: Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for the amount of labor and physical objects needed at various facilities.

Abstract: Agriculture is impacted due to various parameters that results into heavy losses to the crops. Existing methods rely on manual inventories from fields and statistical results are prone to errors thus classification of crops may not be accurate. Present disclosure provides systems and methods for detection and prediction of disguised and potential non-performing assets (NPAs) in agriculture. Disguised NPAs detection involves, obtaining satellite data from sources and natural calamity, detecting of crop for past years, crop growth, estimating yields, market prices for individual years, AC zones, etc. wherein a generate performance score is generated for each field for classifying crop as disguised NPA.

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: Described herein is a computer implemented method comprising: receiving, at an information technology service management (ITSM) system, a Practice Action request, the Practice Action request referencing a Practice, the Practice providing one or more selectively enablable Capabilities to a project created in the ITSM system; the ITSM system querying an issues database associated with the project; the ITSM system receiving a result set of candidate issues in response to the query; and the ITSM system modifying one or more of the candidate requests using the referenced Practice.

Abstract: A performance indicator score can be determined for a software development process. A set of elements representing performance attributes of a software development process, such as quality and availability, can be determined. Scores for each element of the set of elements can be computed and aggregated into a single overall score. Further, an adjustment can be determined and applied to scores based on time or an expected event. The overall score can then be conveyed for display on a display device. Some thresholds can also be employed to evaluate the scores, including the overall score, and alerts can be triggered based on the thresholds.

Abstract: A system for providing a virtual data room for conducting due diligence on a plurality of documents that are remotely located and accessible over a computer network by a plurality of users using client computer systems. Documents are retrieved from the remote system and presented to a user on their local computing system for review and conducting due diligence tasks thereon. Based on the interaction the user has with the displayed document, due diligence status values that are associated with the display document are updated and stored with the virtual data room system. A display request is received and based on the request a display characteristic is calculated for a folder that includes a set of documents. The display characteristic is determined based on the due diligence status values of all of the documents within the folder.

Abstract: A new product development system may provide, to one or more client devices and server devices, one or more tools to enable development of a new product. The new product development system may receive current project data identifying a current project for developing the new product, historical project data identifying historical projects for developing historical products, and industry data associated with the new product. The new product development system may process the current project data, the historical project data, and the industry data, with a machine learning model, to identify one or more variables for a predictive model and may process the one or more variables, with the predictive model, to predict a predicted success rate of the current project. The new product development system may perform one or more actions based on the predicted success rate of the current project.

Abstract: Provided is a process including: receiving a tank-nearly-full message indicating that a tank at an oil or gas related facility is or will be ready for a truck to unload and transport fluid accumulating in the tank; in response to the tank-nearly-full message, creating a tank-run record; sending a description of the tank-run to a mobile device of a driver of an oilfield truck; receiving, from the mobile device of the driver of the oilfield truck, a tank-run claimed message indicating that the driver will drive to the oil or gas related facility and transport at least some of the fluid accumulating in the tank; and after the tank-run claimed message, performing steps including: confirming that the tank-run has not yet been claimed; after the confirmation, designating the tank-run as claimed by the driver; and sending confirmation to the mobile device of the driver.

Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Abstract: The present disclosure relates to systems and methods for intelligently selecting users for inclusion in workflows. In some examples, machine-learning techniques can be executed to intelligently expand the set of user profiles included in a workflow. The intelligent selection of new user profiles may be continuously performed over time intervals, thereby enhancing the computational efficiency and accuracy of expanding the user profiles selected for inclusion in the workflow.

Abstract: The present invention relates to a method and system for quality compliance, system and operator verification, and process management for point of care biological sample testing systems used in hospitals and other medical delivery environments. Specifically, the present invention may be directed to a computing device configured to generate a plurality of attributes configured to assess a competency level of an operator to operate at least one sample testing instrument, obtain operator derived data pertaining to the operator's ability to operate the at least one sample testing instrument, and determine a competency level of the operator for the at least one sample testing instrument based the plurality of attributes and the operator derived data.

Abstract: The inventive platform and method enhance the efficiency of systems in the interactive conveyance industry for goods and services by providing for the filtering, selection and securing of conveyance services in accordance with one or more of client and representative preferences in substantially real time.

Abstract: A notification system and method that allows a user to be placed on a waiting list, disclosing only the personal information the user chooses to disclose, and receive updates or other information relating to his status on the waiting list through a personal communication device. A timekeeping system and method generates time in and time out record entries based upon a display code presented the personal communication device. A form data aggregation system and method consolidates inputted information from multiple applications on the personal communication device.

Abstract: A device, system and method for providing ancillary objects from a cache and/or for providing categorized provider objects is provided. One or more servers receive a flight object representing a flight and search an ancillary object cache for predetermined ancillary objects associated with previous flights similar to the flight. When one or more of the predetermined ancillary objects, associated with at least one previous flight similar to the flight, are found at the ancillary object cache, a requesting device is provided with a response corresponding to the flight object and the one or more of the predetermined ancillary objects associated with the at least one previous flight similar to the flight. The flight objects and the ancillary objects may be assembled into provider objects which are provided to the requesting device. The provider objects may be categorized based on provider object categorization criteria associated with the requesting device.

Abstract: Aspects discussed herein may relate to methods and techniques for automatically generating a test drive schedule for a user based on known inventory, user preferences, demographic information, employee availability, and other factors, as well as detecting conflicts and rescheduling test drives in response to those conflicts. This may allow for easier access to test drives for the consumer, which may promote more test drives and higher resultant sales, as well as allowing for rescheduling in advance of conflicts, which may reduce lost consumers due to test drives that were conflicted.

Abstract: The inventive system and method address a long felt need for enhancing the efficiency of systems in the interactive conveyance industry for goods and services by providing for the filtering, selection and securing of conveyance services in accordance with one or more of client and representative preferences in substantially real time.

Abstract: Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.