Abstract: Systems and methods of machine learning for splice improvement. A system can receive, from one or more sensors, one or more values corresponding to manufacture of a tire by the one or more pieces of tire manufacturing equipment. The systems can determine one or more metrics based on the one or more values. The systems can generate a matrix based on the one or more values and the one or more metrics. The systems can predict, via input of the matrix into a machine learning model, a value for a splice tolerance metric. The systems can determine, based on the value for the splice tolerance metric, a parameter of at least one piece of equipment to adjust. The systems can provide a command to adjust the piece of equipment responsive to the value of the splice tolerance metric.