Abstract: A mobile device includes a frontend application, a prediction layer including a dispatch unit, prediction generation unit, metadata store, and curve fitting unit. A method includes receiving at the prediction layer a frontend application service request, forwarding the service request about contemporaneously to the curve fitting unit, prediction generation unit, and a backend server, the prediction generation unit searching the metadata store for a predictive formula associated with the service request, calculating a response using the predictive formula, and providing the calculated response for display in a user interface as an interim result to the service request. A response from the backend server is displayed by the frontend application. The curve fitting unit generates and/or refines a predictive formula for the service request based on the service request parameters and the backend server response. A non-transitory computer-readable medium is also disclosed.

Abstract: A mobile device includes a frontend application, a prediction layer including a dispatch unit, prediction generation unit, metadata store, and curve fitting unit. A method includes receiving at the prediction layer a frontend application service request, forwarding the service request about contemporaneously to the curve fitting unit, prediction generation unit, and a backend server, the prediction generation unit searching the metadata store for a predictive formula associated with the service request, calculating a response using the predictive formula, and providing the calculated response for display in a user interface as an interim result to the service request. A response from the backend server is displayed by the frontend application. The curve fitting unit generates and/or refines a predictive formula for the service request based on the service request parameters and the backend server response. A non-transitory computer-readable medium is also disclosed.