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Case study

Coca-Cola İçecek cuts water use by 4 million litres

CCI Turkey was already one of the most water-efficient plants in the Coca-Cola network. But in a region where water is scarce, 'good enough' isn't good enough. They needed hard data to push efficiency further, without compromising cleaning standards.

 

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Key numbers
4
Million litres
of water saved annually.
300
Hours
less time spent cleaning.
17%
Reduction
in total CIP water consumption.
10%
Reduction
in energy consumption.

ABOUT THE CUSTOMER

CCI (Coca-Cola İçecek) is one of the world's largest Coca-Cola bottlers and a major player in the beverage industry, serving over 450 million consumers across 11 countries. Their Ankara plant produces the full range of Coca-Cola products and energy drinks, running three CIP lines with approximately 2,200 cleaning cycles per year. The plant already operated at a water-to-product ratio of 1.3 litres per litre, well ahead of the Coca-Cola network average of 1.7.

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CHALLENGE

Reducing water use where every drop counts

CCI's Ankara plant had already done the obvious work. They'd optimised where they could, cut waste where they knew it existed, and built a reputation for efficiency. But they suspected there was more to find. Hidden in rinse phases that ran a little too long. In cleaning cycles that followed the clock rather than the process.

The problem? Their existing conductivity sensors couldn't see it. They provided basic readings, but lacked the precision to detect exactly when a rinse was complete or when chemicals had fully cleared. Without that visibility, the team had no safe way to shorten cycles.

They needed technology that could show them what conductivity couldn't. And give them the confidence to act on it.

 


SOLUTION

RF technology delivered the precision conductivity couldn't

Collo's CIP Optimisation solution provided the breakthrough.  Radio Frequency analysers installed in CIP return lines measured liquid properties in real time with a level of accuracy that conductivity simply can't match. The difference was immediately clear: where conductivity signals were noisy and inconsistent, Collo signal stayed smooth and stable through every phase transition.

Collo vs Conductivity in CIP

This precision made all the difference. Collo's ProcessIQ platform combined the analyser data with CCI's process information, identifying exactly where cycles could be shortened safely. No guesswork. No compromises on cleaning quality.

 

Detect

Monitor key parameters of CIP cycles, including interfaces, cleaning time, and chemical usage.

Analyse

Analyse measurements to detect water/chemical/product interfaces. Quantify loss areas and transform data.

Report

Visualise each CIP cycle stage. Identify opportunities to reduce cleaning time, optimise chemical usage, and cut water consumption.

Implement

Apply the insights to optimise CIP cycles. Validate and build business case for scaling across the plant.

The technology also revealed issues that had gone unnoticed: contamination in pre-rinse water from the recovery tank, air bubbles during caustic circulation. These insights gave CCI the information they needed to address root causes, not just symptoms.

RESULTS


Measurable savings across water, energy, and time

For a plant that was already outperforming the network average, these results validated what the team had long suspected: there was significant waste hiding in plain sight. The 300 hours of freed-up cleaning time gave operations more room to breathe. Maintenance windows that used to feel rushed became manageable. Production planning gained flexibility that simply wasn't there before.

 

The numbers speak for themselves:

Water reduction

  • 4 million litres saved annually
  • 17% reduction in total CIP water consumption
Energy reduction
  • 10% reduction in CIP energy consumption
Time savings
  • 300 hours of cleaning time saved annually
  • 10% reduction in total cleaning time
Operational benefits
  • Increased production capacity
  • Better visibility for predictive maintenance
  • More flexibility in production planning
Payback period:  under 12 Months

But perhaps the biggest shift was confidence. With real-time data showing exactly what was happening inside every rinse and chemical phase, the team could optimise knowing they weren't cutting corners. The data proved it.

“True sustainability is built on precision. By leveraging Collo sensor in our CIP return lines, we are transforming process safety into measurable resource savings—optimizing water, chemical, and energy efficiency for a greener future.”
CCI
Altug Alan, Engineer

Coca-Cola İçecek Turkey

WHAT'S NEXT

From time-based to state-based cleaning

With results validated, CCI is now expanding to optimise CIP cycles at other CCI plants across the network. Ankara becomes the reference site, proving what's possible before replicating the model elsewhere.

The end goal is a shift from time-based cleaning to fully state-based cleaning. Using LiquidIQ, Collo's real-time process optimisation signals connect directly to the plant's automation. Instead of running cycles for a fixed duration, the system responds to actual conditions. When the rinse is clean, it stops

 

Calculate your CIP savings potential

How much water, energy, and time could your plant save? Use our CIP Savings Calculator to calculate how much time, water and money your plant could save with Collo.

FAQ

Frequently Asked Questions

If you still have question, please feel free to contact us.

How does Collo integrate with existing equipment?

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What dairy products does Collo monitor?

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How soon will I see results?

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What kind of support does Collo offer?

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