In the last decade, the focus of automation in the manufacturing industry has been on the physical and logical aspects of the production system, supposing the product definition is well known. The steps required to create this product definition (in terms of design, engineering, and industrialization) are still mostly achieved by humans, although making use of the computer-aided tools that compose the CAx chain. This is efficient when the same product is afterward produced thousands of times, making the extensive human labor profitable. However, for design-to-order manufacturing systems, such a methodology suffers from long lead times and exorbitant costs directly transferred to the client. Industrial visits and discussions with design-to-order manufacturers followed by a detailed modelization of their current manufacturing processes led us to target the need for automation of the product definition process. We propose a new approach focusing on product families defined by data and algorithms which encapsulate product family semantics. This approach allows clients to generate their own personalized product definitions from this family in a few clicks. Our approach is currently implemented in SMEs from different industries, ranging from the construction industry to the medical implant sector, as well as our own research factory producing personalized micro-trailers.