Why Food Manufacturers Are Rethinking What Digital Transformation Should Deliver
Why manufacturers are shifting from collecting more data to understanding what actually drives results.
For years, digital transformation in food manufacturing meant improving visibility with dashboards, connected systems, and reporting tools. This approach worked well for a while. Manufacturers gained access to more information than ever before. Teams could track production in real time, monitor KPIs, and understand their operations much better than a decade ago. For many, this new visibility felt like real progress.
But now, many food manufacturers are facing a new challenge.
The data and systems are in place. Yet, improving yield, reducing waste, and keeping operations consistent is harder than expected. This frustration is making manufacturers stop and ask a bigger question:
What should digital transformation actually deliver?
During a discussion on improving operations, Braincube CEO Laurent Laporte and InSource Solutions CEO Rob Bansek discussed why many manufacturers still struggle to achieve better results, even with more data than ever.
One key takeaway from their conversation was clear: visibility alone does not lead to real optimization. More and more food manufacturers are realizing this.
Most manufacturers have already invested heavily to improve visibility in their plants. They can see production data, trends, alarms, downtime, and KPIs in real time. But when results start to slip, waste goes up, or one production run is different from the last, teams still find themselves asking the same question:
Why is this happening?
In food manufacturing, even small inconsistencies can impact yield, throughput, waste, and margins. A minor process change, a different raw material, or a change in operator decisions might not seem important alone, but together, they shape daily operations.
As Laurent pointed out, manufacturers have invested a lot in systems to collect and display information, but many still end up asking:
“What do I do with this huge amount of data?”
This question signals a major shift happening in the industry right now.
Manufacturers are moving beyond just collecting information and are starting to focus on what truly drives results. Another key point from the conversation was why so many transformation efforts fail to deliver lasting improvements. Both Laurent and Rob agreed that the problem is often not the technology, but how organizations manage change.
For years, manufacturers were told that new technology would automatically improve operations. But in reality, many teams still rely on the same habits, assumptions, and methods as before.
This creates a gap between what technology can offer and how teams actually work.
Technology can show where improvements are possible, but organizations still need to trust the data enough to change how they work.
And that is not easy.
Rob described this challenge as overcoming legacy thinking. Manufacturers often see there is room to improve, but changing how teams work, respond, and make decisions on the plant floor takes time.
That is why many manufacturers are rethinking how they improve operations. Instead of just fixing isolated problems, they are working to create results they can repeat.
Instead of asking:
“What problem are we fixing today?”
The question becomes:
“How do we create more stable, repeatable performance across operations?”
This is a very different way of thinking.
An important part of the conversation was about trust. Many transformation projects fail because organizations try to change too much at once. Large projects often lose momentum before teams trust the results. Laurent and Rob emphasized the value of building trust through small operational wins.
Start with one improvement, show its value, build confidence, and then expand from there.
This approach helps manufacturers achieve something many find difficult: sustainable improvement. Operational improvement is rarely about one big breakthrough. More often, it comes from noticing smaller connections in the process that were hard to see before.
Once teams understand these relationships more clearly, they can make more intentional adjustments, reduce variability, and achieve more repeatable outcomes across shifts and production runs. This is when transformation becomes operational instead of just theoretical. That is where digital transformation in manufacturing is heading.
The next phase of digital transformation is not just about visibility. Most manufacturers already have more information than ever before.
The challenge now is learning how to use that information to create more stable, repeatable results in operations.
Food manufacturers are under growing pressure to improve margins, reduce waste, and operate more efficiently without adding complexity.
Visibility alone is no longer enough to achieve these goals.
Watch the Full Discussion
The conversation between Braincube CEO Laurent Laporte and InSource Solutions CEO Rob Bansek goes deeper into the challenges manufacturers are facing today, why many transformation efforts struggle to create lasting operational improvements, and what leading manufacturers are doing differently to improve results.