The involvement of AI in packaging allows your business to make unique, vibrant and memorable package designs that accurately reflect your brand ethos. Additionally, AI also improves the package inspection process. Over the years, the way products are marketed to customers has assumed equal, or, in many cases, greater, significance than the products themselves. Most people identify and remember the taglines and snazzy graphics on the cans of aerated drinks than the sugary syrup contained within them. Apart from keeping your products cocooned and safe from external elements, getting the packaging process right helps sell your product more quickly due to consumers' general tendency to relate quality and reliability with aesthetics.

Differentiation is the name of the game when marketing products to consumers. Differentiation's mandatory companion is performance. Both of these are driven by creative individuals who use the latest technological tools to create viable, commercial packages that will deliver desired attributes all the way to their expiration date. However, there is room for improvement. A gap exists between the "idea generators" and the "idea executors."

We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs. We demonstrate its potential with a perfume bottle design case study, including human evaluation and quantitative and qualitative analyses.