Abstract: Systems, methods, and computer program products for generating job value predictions by a trained model for a tenant include receiving live data associated with a tenant, where the live data includes information associated with a job to be performed by the tenant. A trained model associated with the tenant is retrieved, where the trained model is configured to generate a job value prediction for the job to be performed. The live data is preprocessed to obtain a set of features associated with the job, the set of features consumable by the trained model, and the trained model is applied to the set of features to generate the job value prediction for the job to be performed by the tenant.

Abstract: The present invention relates to systems and methods for generating price book service item recommendations. A process of the disclosed technology includes steps for generating an estimate comprising one or more service items, based on selections at a user interface, analyzing the one or more service items to identify at least one recommended service item, generating a recommendation for the at least one additional service item, and presenting the recommendation on a display associated with the user interface. In various embodiments, a neural network can be applied to determine an association between the one or more service items and at least one additional service item based on a set of past invoices. Systems and machine-readable media are also provided.

Abstract: Systems, methods, and computer program products for generating job value predictions by a trained model for a tenant include receiving live data associated with a tenant, where the live data includes information associated with a job to be performed by the tenant. A trained model associated with the tenant is retrieved, where the trained model is configured to generate a job value prediction for the job to be performed. The live data is preprocessed to obtain a set of features associated with the job, the set of features consumable by the trained model, and the trained model is applied to the set of features to generate the job value prediction for the job to be performed by the tenant.