Abstract: A system to manufacture a tire includes one or more processors and one or more memories storing instructions executable by the one or more processors and causing the one or more processors to receive, from one or more sensors of one or more pieces of tire manufacturing equipment, one or more values corresponding to manufacturing of a tire, generate a matrix based on the one or more values, predict, via input of the matrix into a machine learning model, a value for a splice tolerance metric for the tire, determine, based on the value for the splice tolerance metric, a first parameter of a first piece of the one or more pieces of tire manufacturing equipment to adjust, and provide a command to adjust the first parameter of the first piece of equipment responsive to determining the value of the splice tolerance metric.