  In this work we present an integrated computational pipeline involving
several model order reduction techniques for industrial and applied
mathematics, as emerging technology for product and/or process design
procedures. Its data-driven nature and its modularity allow an easy integration
into existing pipelines. We describe a complete optimization framework with
automated geometrical parameterization, reduction of the dimension of the
parameter space, and non-intrusive model order reduction such as dynamic mode
decomposition and proper orthogonal decomposition with interpolation. Moreover
several industrial examples are illustrated.
