FREQUENTLY ASKED QUESTIONS

Yes, MAZUS can design a custom box tailored to your specific product. There are two ways to do this:

1. Based on the dimensions you provide – if you know the external dimensions and weight of your product and can share precise data with us, we can create an accurate box drawing.

2. Based on a physical product – if your product has unusual weight, shape, or if the box needs to hold multiple items, you can send one or more physical samples to our office. In this case, our structural designers will develop the box based on the actual product. While this method takes longer, it’s much more accurate — it allows us to create the correct box design and also build and test a functional prototype.

If your product is fragile or complex, we recommend the second option, as it helps the designer choose the optimal box structure and the right board strength to ensure product protection.

Usually no, because designing an insert without the physical product often leads to repeated adjustments that exceed the value of the service paid by the client. Based on our experience, photos with marked dimensions are often inaccurate — clients may mismeasure or mislabel sizes, resulting in the need to modify the insert drawings multiple times. In such cases, the process becomes inefficient and economically unfeasible.

However, if you can provide precise technical drawings or CAD files (e.g. of a bottle or other product component), we can create the insert without having the physical object.

Yes, today artificial intelligence can help generate a packaging design visualization or a creative idea, but it is important to understand that such an image is not yet a professional production layout.

More and more of our clients come with images generated by Midjourney or DALL-E, and that is natural, because a packaging visualization is created quickly and looks impressive. However, packaging production requires completely different files – precise 2D drawings (dielines), high-quality print layouts with vector graphics, and special layouts (files) for printing effects.

Simply put, you cannot directly manufacture packaging from a beautiful AI-generated picture. Similarly, you cannot sew a piece of clothing from a photo – first, you need construction, materials, and technical preparation.

In practice, AI-generated visualizations often become an excellent starting point for style searches, matching colors and materials, presenting a packaging idea, and communicating with a designer, manufacturer, or even a potential client.

Nevertheless, an AI-generated design can be used in manufacturing packaging; we have already done this. If you plan to use an AI-created box visualization for printing, it is recommended to generate the images in the highest possible resolution from the very beginning or to use the so-called upscale functionality, which increases the resolution and detail of the image. This helps preserve better quality when preparing the design for print.

However, even when using upscale, the final production layout must still be prepared by a professional packaging designer. The workflow is as follows:

1. First, a MAZUS packaging engineer generates a box drawing with real dimensions from the cardboard planned for the project. Before laying out the design, a prototype is always made so the client can ensure that the box size is correct, because creating a layout on an inaccurate drawing is just a waste of time and resources.
2. Then, a professional designer cuts up, transfers, and adapts the AI-generated design onto this drawing according to the real proportions of the drawing. This is one of the most difficult parts of the job, because AI-generated dimensions almost never match real drawings.
3. After that, the designer makes all elements of the layout high-quality so that they are suitable for offset (or another type of) printing. They redraw some elements into vector graphics and add the missing information, such as the product composition description, instructions for use, barcode, and packaging labeling.

Today, artificial intelligence helps visualize an idea faster, but a production-ready packaging drawing and layout still require human experience and technical knowledge.

2026-05-18