The supply chain management apparatus includes: an input unit that receives input information indicating a change in market conditions; a storage unit that stores supply chain information in which constituent companies of a supply chain, T&Cs information in which T&Cs of each of the constituent companies of the supply chain is registered, and a condition for a key performance indicator which should be satisfied, the condition for a key performance indicator being set for each of the constituent companies; a T&Cs calculation unit that, when the input information is received, calculates a supply chain plan corresponding to the change in the market conditions indicated by the input information based on a predetermined calculation method, and when a key performance indicator calculated based on the supply chain plan does not meet the condition for the key performance indicator, changes the T&Cs so that the key performance indicator is optimal.

Systems and methods for modeling and analysis of commerce platform system infrastructure provided by cloud services provider systems to a commerce platform are described. The method may include receiving a cloud services provider spending report generated by a cloud service provider system, wherein the cloud services provider spending report comprises information indicative of costs of cloud services provider resource usage by the commerce platform system over a period of time, and receiving a service report for one or more systems of the commerce platform, wherein the service report comprises information indicative of execution of services of the one or more systems of the commerce platform over the period of time. A directed graph may then be generated that models costs of commerce platform system service usage at the cloud services provider system. The method may also include performing an analysis of the directed graph to attribute cloud service provider system cost information to the commerce platform system service usage at the cloud services provider system, and generating a report indicating cloud service provider system costs attributable services of the commerce platform system.

A system and method for visualizing one or more crop response surfaces. The system includes a geospatial database associated with a crop prediction engine. The geospatial database receives soil composition information for plots of land. The crop prediction engine identifies covariates from the soil composition information, which has a feature matrix. The crop prediction engine generates a multi-dimensional covariate training data set from the covariates. The crop prediction engine then applies the multi-dimensional covariate training data set to a machine learning training model to generate at least one predictive crop-yield predictive model. The crop prediction engine ranks covariates having feature set interactions. Subsequently, the crop prediction engine determines a dominant crop-yield feature set interaction from the ranked covariates having feature set interactions. The crop prediction engine generates a crop response surface from the dominant crop-yield feature set interaction. The crop prediction engine then visualizes the crop response surface.

Methods and systems for generating a computer program for a governance, risk, compliance (GRC) system are described. In an example, a processor may detect a change among a plurality of objects in the GRC system. The processor may generate a snapshot of the plurality of objects in response to the detected change. The snapshot may include the detected change among the plurality of objects. The processor may train a machine learning model using the snapshot. The trained machine learning model may indicate relationships among a set of related objects, where the related objects may be among the plurality of objects. The processor may generate a computer program based on the trained machine learning model. The computer program may include a set of instructions for setting a field value of an object among the set of related objects.

A method includes providing an objective function having a first control objective dependent upon production or use of one or more energy resources, a second control objective accounting for carbon emissions associated with the production or use of the one or more energy resources, and a weighting factor applied to the first control objective or the second control objective. The method includes simulating amounts of carbon emissions over a time period for a plurality of possible values of the weighting factor, selecting a value for the weighting factor based on a comparison of a carbon emissions goal for the time period with the simulated amounts of carbon emissions, performing an optimization of the objective function with the objective function comprising the value for the weighting factor, and controlling equipment to use the one or more energy resources in accordance with a result of the optimization.

Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.

A pest monitoring system and associated method includes pest monitoring devices for placement at a site and generating a signal upon detection of a pest, and a pesticide dispensing unit including a reservoir housing a diluent and a pesticide module housing a pesticide. A computer device remotely disposed to the pest monitoring devices receives generated signals therefrom, analyzes environmental and historical factor data for the site to determine an amount and placement location of the pest monitoring devices for monitoring the site, and directs deployment of the pest control monitoring devices according to the analysis. The computer device also receives data from the pesticide dispensing unit including an amount or rate of the pesticide substance dispensed from the pesticide module, to form treatment having a concentration of the pesticide substance in the diluent, the treatment being dispensed from the pesticide dispensing unit to treat a detected pest at the site.

In some implementations, a system may collect historical interaction information associated with previous service interactions involving users that received the service. The system may determine, based on the historical interaction information, an impact score associated with an attribute of a group of the users satisfies a degradation threshold. The system may receive a request involving a user receiving the service, wherein the request indicates that the user is associated with the attribute. The system may determine, based on the user being associated with the attribute and the impact score satisfying the degradation threshold, a parameter that reduces a probability that the user experiences the degradation of the performance metric when receiving the service. The system may perform an action associated with the parameter and the user.

Disclosed are system and methods for digitally capturing, labeling, and analyzing data representing shared experiences between a service provider and a customer. The shared experience data is used to identify, test, and implement value-added improvements, enhancements, and augmentations to the shared experience and to monitor and ensure the quality of customer service. The improvements can be implemented as customer service process modifications, precision learning and targeted coaching for agents rendering customer service, process compliance monitoring, and as knowledge curation for a knowledge bot software application that facilitates automation of tasks and provides a natural language interface for accessing historical knowledge bases and solutions.

Methods and systems for evaluating economic viability of a proposed microgrid, including uncertain variables are disclosed. One or more candidate distributed energy resources can be selected for use within a proposed microgrid. An investment cost and an operation cost of the one or more candidate distributed energy resources can be determined. A cost of drawing power from a main power grid can be compared to a sum of the investment cost and the operation cost of the one or more candidate distributed energy resources. The proposed microgrid can be identified for installation when the sum of the investment cost and the operation cost is less than the cost of drawing power from the main power grid.