Machine learning (ML) offers a powerful solution to replicate and optimize complex physical systems, presenting an extraordinary opportunity for revolutionizing packaging design. 

Amcor is seeking a partner to create a model to automate and optimize the PET (polyethylene terephthalate) container design process, setting new industry standards in the development and manufacturing of custom PET containers.  

In 2-step stretch blowmolding of PET (polyethylene terephthalate) containers, the first step is to injection mold the plastic into the shape of a preform, which looks like a test tube with a threaded neck. The design of the preform enables the precise distribution and molecular orientation achieved in the next step, where the preform is then heated and placed in a blow mold. High-pressure air is injected into the preform, causing it to expand and take the shape of the surrounding mold, resulting in the final PET container. 

Amcor has a database of successful preform designs and their corresponding container outcomes, but this valuable data has not been utilized to streamline or enhance the design process automatically. Given Amcor's extensive database and experience in this field, there is a unique opportunity to harness this data to develop a dynamic and continually improving AI model.