Data in abundance. Impact? Barely any.

The chemical industry doesn’t have a data problem, it has trouble using it. Factories run on data streams that provide insight into performance and risks every second. Yet, decisions are still made based on outdated reports, Excel sheets and scattered emails. And that’s where the pain lies: you collect data, but don’t use it to make production smarter.

Why data-driven production never really takes off

Not because people don’t understand it or because the data is “worse” than in other industries. The real issue is that the IT environment structurally gets in the way.

  • Isolated systems that don’t talk to each other
  • Changes that take months to implement
  • Custom-built solutions no one dares to modify
  • Operators waiting for dashboards that are already outdated the moment they go live

The result? Insights get stuck, improvements are delayed and unnecessary risks increase.

Low-code: finally moving forward without IT delays

In the chemical industry, technology must be both reliable and fast. Low-code delivers exactly that. No endless design cycles. No waiting half a year for an MVP.

You build tools that run directly on the shop floor:

  • process apps that capture deviations during a shift
  • maintenance tools that automatically generate alerts
  • dashboards that operate live on all kinds of data
  • workflow apps that automatically trigger quality actions

Low-code integrates with existing systems. No “rip and replace”, but adding value on top of what already works.

AI: the moment data does more than just report

AI is not a futuristic gimmick. It’s a practical tool that does exactly what an operator or engineer cannot: recognize patterns while the process keeps running.

AI can predict:

  • when equipment will start to degrade
  • which batches are at risk
  • where energy is being wasted
  • how process settings can be improved

But AI without execution is worthless. If those insights never reach operations, they’re no more useful than a PDF sitting on SharePoint.

AI + low-code = direct impact on your production

With low-code, you embed AI where it belongs: directly into your work processes.

Examples we are already delivering today:

  • Predictive maintenance made visible directly in maintenance planning
  • Quality alerts via mobile apps during production runs
  • Process optimizations suggested in dashboards without manual effort
  • Real-time notifications when safety thresholds are exceeded

Why the chemical sector can use Squad Apps

We design solutions not for IT departments, but for the teams that keep the plant running.

Our squads:

  • speak the language of production, process engineering and compliance
  • build applications that withstand industrial reality
  • integrate data without disrupting your core systems
  • bring AI to where it matters: on the shop floor, not in Excel

We accelerate what is currently stuck: from insight to action to results.

Time for a down-to-earth conclusion

Data-driven production doesn’t happen by itself. You don’t get there by storing even more data or generating yet another report.

You get there by using agile technology that turns data into action.

Low-code combined with AI means smarter production, higher safety, less waste and more control.

Curious about what low-code can do for your organization? Get in touch with us!

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Written by
Maarten
Bongers
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Chemical  Event
29 January 2026
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