What Happens When You Have 100 Labels to Update and No Time to Do It?
Picture this: a product reformulation. Regulatory change. A new market launch. Suddenly you have 100 labels that need updating and a deadline that isn't moving. If you've ever been in that position, you already know about the stress that often follows.
The way most teams handle it
Most label management systems work the same way. Data lives in a database and a template controls how that data looks on the label. Then when you need to populate a label, you import the data into the template and compile it. Then you do it again. And again.
For 100 labels, that's 100 imports and therefore, 100 individual compile steps. And if a measurement, statement or product name needs changing after that, you go through the whole thing again one label at a time. It's not that teams are doing anything wrong, but that the tools were built for a different scale of complexity.
Where it breaks down
In most systems, you don't see a fully populated, print-ready label until the very end of the process. That means errors like inconsistent font sizes, missing statements, and formatting shifts between variants often aren't caught until you're deep into review, or worse, after approval. At that stage, fixing them means going back through the same manual process all over again.
A different approach
Kallik's Automated Artwork Generation (AAG) works differently, saving time and offering better visibility.
Instead of compiling labels one at a time, you add all 100 to a single project. From there, AAG dynamically assembles the artwork using pre-approved, intelligent templates — pulling in the right content, applying it consistently, and generating completed labels across the entire batch at once. This means no manual compilation and no opening each file individually.
The result is that what used to take days can be done in seconds. More importantly, you see the completed, populated labels far earlier in the process. It's much easier to spot a consistency issue or catch an error when you're reviewing a full batch at the right stage rather than rushing to fix it after it’s happened.
Why this is different from what's out there
Most systems don't offer this kind of batch automation and require users to import, compile, check, adjust and repeat. The database-plus-template model is standard across the industry, and in most cases, it still requires manual intervention at the individual label level.
With AAG, that repetition disappears. Changes made in the project propagate across all labels consistently and reliably with every label in the batch reflecting the update. That consistency is particularly valuable in regulated industries, where a discrepancy between label variants is a major compliance risk.
What this means in practice
The teams that benefit most from AAG are those managing high-volume, high-complexity label portfolios: pharmaceutical companies handling multi-market launches, chemical manufacturers managing GHS-compliant labels across product ranges, food and beverage brands navigating frequent regulatory updates.
For these teams, the speed gain is significant, but the bigger shift is operational. When you're not spending time on manual compilation, your artwork and regulatory teams can focus on what actually requires human judgment — reviewing content, managing approvals, responding to market changes.
As a result, the process becomes something you control, rather than something that controls your timeline. AAG was built to enable label and artwork production teams to move faster without compromising accuracy.
To find out more about how Kallik supports automated artwork workflows, speak to one of our labeling and artwork experts today by emailing enquiries@kallik.com, calling +44 (0) 1827 318100, or filling in our contact form.