5 Ways AI Is Revolutionising Custom Printed Packaging

Artificial intelligence is no longer a limited concept in the world. As AI changes our daily lives, it’s also transforming the packaging industry. You have probably seen videos of designers making videos on social media platforms showing how they create designs from scratch in a few seconds.

With the help of machine learning applications, the whole custom printed packaging ecosystem dramatically boosts efficiency and minimises costs. In this blog post, we are going to share an in-depth knowledge of how AI is revolutionising the packaging industry. Keep reading!

How AI is Transforming Custom-Printed Packaging Solutions?

According to one survey, 77% of packaging companies have been using the latest AI advancements. More than 60% of them report that they are fully satisfied with the service quality. Let’s take a look at 5 ways.

Efficient Packaging Design

Gone are the days when packaging designers relied on manual designing processes. Nowadays, they are using gen AI tools like Midjourney to create high-quality packaging artwork in no time. Meanwhile, platforms like Pacdora create structural designs, including both 3D mock-ups and die lines.

Beyond aesthetic appeal, packaging design tools of AI use algorithms (advanced) to enhance durability, sustainability factor and material usage. Designers simply enter their requirements and AI will suggest designs that meet all needs within seconds without worrying about manual processes.

Prototyping (Simulated)

Packaging prototyping is undoubtedly a slow phase, but AI is making it faster, smarter, and cost-effective. With AI-driven simulation, now it’s quite easy to test how packaging performs in real-world conditions. Tools evaluate durability, usability and product protection.

Some firms have even developed a VR software system that helps them imagine how the packaging will look on store shelves. With AI simulation tools, businesses would generate thousands of prototype variations at once to maintain a perfect balance between functionality and material usage.

Optimised Procurement

One of the ever-changing and complex processes of the packaging industry is procurement. But with AI, it becomes too easy for packaging suppliers to eradicate procurement complexities. With this, it is easy to analyse market conditions, supplier performance, and material costs, all at once.

In the future, AI forecasting will help brands in:

1. Cost-saving with the estimated supply/ demand of market conditions.
2. Material predictions.
3. How might demand shift?

Streamlined Manufacturing

Had you ever imagined AI would make the packaging manufacturing process more streamlined? That’s a true and real fact behind the success of machine learning algorithms. These algorithms greatly reduce human errors, boost efficiency, and transform the whole quality control process.

Besides algorithms, one term, “RFID technology,” you may have heard before, helps brands track materials and equipment in real-time. With these technological advancements, now it’s quite easy for brands to oversee the whole manufacturing process.

Smart Logistics

With AI solutions, managing logistics is not a big deal. Order fulfilment, warehousing, and delivery have become quicker than ever. AI-powered sorting and picking systems help them ensure packaging reaches customers on time without significant delays.

AI-driven route optimisation is already helping logistics companies reduce transit times, lower carbon emissions, and cut costs. Soon, we will see the adoption of fully automated deliveries using drones and self-driving trucks.

Final Words!

With AI advancements, custom printed packaging operations have become easy to perform. To stay ahead and streamline operational efficiency, businesses are constantly moving forward towards AI developments.

The future of the packaging industry belongs to AI advancements. We think AI is only valuable to content creators for generating different forms of content, but this blog post highlighted 5 unique ways in which AI is revolutionising the custom packaging needs.