Transforming CIP for a Global Beverage Leader

Case Study

Customer
Global Beverage Leader
Year
2025
Services
AI Agents Deployed: CIP Optimization
<30%
Faster Changeovers
<30%
Faster CIP
$2M
in annual savings per plant

A global beverage manufacturer partnered with Laminar to accelerate their CIP processes. By deploying Laminar’s spectral sensors and AI Agent models, the company reclaimed on average, 25% time from each process cycle.  They also reduced utility usage - water, chemicals - to take a big step toward meeting their sustainability goals.

Challenges Faced

A global beverage manufacturer partnered with Laminar to accelerate their CIP processes. By deploying Laminar’s spectral sensors and AI Agent models, the company reclaimed on average, 25% time from each process cycle.  They also reduced utility usage - water, chemicals - to take a big step toward meeting their sustainability goals.

Implemented Solutions

  • Deployed Laminar’s spectral sensors to detect the unique fingerprint of liquids moving through supply and return lines.
  • Applied AI models to validate cleaning and changeover steps in real time, removing unnecessary process slack.
  • Automated PLC recommendations for when to advance or hold cycles, ensuring optimal cleaning with minimal resource use.
  • Extended visibility across the factory with Laminar’s Insights platform, tracking savings per line and across entire plants.

Results

  • $100K ROI generated by reclaiming 50% of lost production uptime and reducing CIP cycles by 5% across three lines.
  • Potential to unlock $600K in production uptime gains with full rollout across a single plant.
  • $500K realized by cutting product changeover time by 31% and reclaiming lost uptime.
  • $1M in production uptime gained through a 48% reduction in changeover time.
  • $2M realized from a 30% plant-wide reduction in CIP cycle times, reclaiming 50% of lost capacity.

Impact

With Laminar, factories are turning static routines into dynamic cycles, recovering lost production capacity, cutting waste, and reducing downtime. The result: more uptime, lower resource use, and sustainable operations that scale across global production networks.

Ready to see the results?

Get in touch for a customized view of how you much could save on each line in each factory.