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Ecolab has released its Ecolab CIP IQ technology, designed to transform clean-in-place (CIP) processes for food and beverage manufacturers.
This new AI-enhanced digital solution promises to deliver significant operational efficiencies, allowing companies to reclaim valuable production time for innovation and growth.
As the food and beverage industry grapples with rising consumer demand for new stock-keeping units and smaller batch runs, the challenge of labour shortages has become increasingly pronounced.
Ecolab's CIP IQ addresses a critical bottleneck in production – the time-consuming CIP cycles that occur between product runs. By leveraging advanced sensor data and analytics, CIP IQ aims to optimise wash execution, yielding efficiency gains of approximately 15% in customer deployments.
“Manufacturers are facing a paradox where the demand for innovation is high, yet labour constraints limit their capacity,” said an Ecolab spokesperson. “CIP IQ not only improves operational efficiency but also provides real-time visibility into CIP processes, allowing teams to focus on strategic initiatives that drive business growth.”
The technology has already demonstrated tangible benefits, including a 10% reduction in both water and energy consumption, alongside improved product optimisation.
By harnessing richer data from CIP processes, Ecolab empowers manufacturers to minimise routine cleaning times and redirect those resources toward higher output and faster product innovation.
CIP IQ is purpose-built for the food and beverage sector, offering a unified view of CIP performance through features such as wash conformance scoring and critical exception alerts.
This enhanced visibility enables operators to answer essential questions about wash effectiveness and efficiency, which are crucial for maintaining safety and quality standards.
The introduction of Ecolab’s Precise Wash capability, a module within CIP IQ, further enhances cleaning efficiency by using real-time soil load data to determine when active cleaning is complete.
Trials in dairy facilities indicate that this feature can reduce alkaline wash times by 10-20%, contributing to increased annual production output.