How AI Is Transforming Protective Packaging Design in 2026 

Protective packaging design has always been about solving problems. Whether it’s protecting fragile products, reducing material waste or improving transit efficiency, every packaging solution needs to strike the right balance between performance, practicality, and cost. 

As technology continues to evolve, AI is becoming an increasingly important part of that process. Research from McKinsey & Company found that around 95% of packaging and paper executives believe their companies should invest in generative AI, with 77% saying they have moderate to strong intentions to adopt it in the near future. 

In 2026, AI is giving packaging designers new ways to find that balance. By simulating real-world transport conditions, optimising material usage and speeding up the design process, AI can help identify the best solution before production even begins. 

AI Can Test Protective Packaging Designs Before They’re Even Made 

Developing an effective protective packaging design has traditionally involved a thorough packaging review, followed by building physical prototypes, testing them, making adjustments and starting the process all over again until the right solution is found. While hands-on testing remains an important part of the process, AI is helping designers solve problems faster. 

Using digital simulations and CAD-based design tools, AI can help predict how a protective packaging design is likely to perform before a single sheet of corrugated board is cut. Machine learning models can simulate drop impacts, assess how packaging performs when stacked on pallets, assess stacking strength and even predict how it’ll cope with the bumps, vibrations and repeated handling experienced across different types of transportation throughout the supply chain. 

Designers can then refine CAD models virtually, testing different dimensions, board grades and internal structures before committing to physical prototypes. This helps create protective packaging that is engineered to perform from the very first production run.  

Rather than relying on multiple rounds of trial and error, designers can identify potential weak points, refine internal fittings or adjust box dimensions virtually. AI can even calculate where material can be removed without compromising protection, helping create more efficient packaging designs. 

AI Is Helping Designers Make Smarter Material Choices 

AI isn’t just changing how protective packaging is tested; it’s also helping designers make more informed decisions about the materials used to create it. 

By analysing factors such as product weight, dimensions, stacking requirements and transportation conditions, AI can recommend the most suitable combination of corrugated board grades, flute profiles and protective materials. For example, a heavy product travelling through a demanding supply chain may not need additional layers of board if AI modelling shows that a different board grade or redesigned corrugated insert can deliver the same level of protection. 

This is becoming increasingly valuable as businesses work towards stricter sustainability targets, including the EU’s Packaging and Packaging Waste Regulation (PPWR). AI can assess factors such as material composition, structure and recyclability to help designers reduce over-packaging and create solutions that are recyclable and fit for purpose.  

AI is also supporting the development of fibre-based and mono-material packaging by assessing their structural performance before wider adoption. This gives manufacturers greater confidence to replace traditional plastic protective components with recyclable alternatives. 

By combining AI insights with packaging expertise, designers can create protective packaging that’s engineered to use exactly what’s needed: no more, no less. 

AI Supports Better Protective Packaging Decisions 

Although AI is making protective packaging design smarter, the best solutions still come from combining technology with practical expertise. 

For example, AI may suggest that a lighter board grade provides the required strength based on weight calculations and performance data. However, an experienced packaging designer will also consider how the product is loaded, stored and handled throughout its journey, including whether additional protection such as bespoke internal fitments is needed to prevent movement and reduce the risk of damage. 

That’s where the human touch comes in. The most effective packaging solutions come from understanding the practical challenges behind each project and applying real-world knowledge to turn data into designs that work. 

At Greyhound Box, every solution starts with understanding what you’re protecting and the challenges it needs to overcome. Our sustainable packaging solutions are designed to reduce waste, whilst keeping products protected from production line to final destination, without cutting corners. 

What Does the Future of Protective Packaging Design Look Like? 

As AI continues to evolve, designers will have new ways to test ideas, optimise materials and create more efficient packaging solutions. But the goal remains the same: protecting products, reducing waste and solving real-world challenges. 

At Greyhound Box, we’re excited by how technology and innovation continue to shape the future of packaging. Combined with decades of expertise, these advancements help us create protective solutions tailored to our customers’ needs. 

Whether you’re looking to reduce damage, improve efficiency or explore more sustainable packaging options, get in touch with Greyhound Box today to discover how expert design can help your products arrive safely and ready for their next journey.