Digitalization and real-time monitoring to optimize food production

The collaboration with Zerynth allowed NTFood to interconnect 15 heterogeneous systems, integrating field data with the corporate MES to achieve full visibility and maximum operational efficiency.

+30%

Overall Productivity

-25%

Machine Downtime

+18%

Energy Efficiency

Thanks to Zerynth, we were able to effectively digitalize and monitor our industrial machinery. This allowed us to reduce downtime by 25% and improve energy efficiency by 18%, resulting in an overall productivity increase of 30%. Zerynth proved to be the ideal solution for our needs, giving us full control over production and making our processes more efficient and competitive.

Mirko Di Cristofaro, Digitalization Manager, NT Food

The Challenges

The food industry faces increasingly complex challenges related to efficiency and sustainability. NTFood, a company specializing in gluten-free products, needed constant real-time control to monitor 15 different machines across the mixing, cooking, and packaging phases. The lack of structured data made it difficult to identify anomalies, prevent breakdowns, and optimize planning in a rapidly expanding market.

The Solution

Zerynth provided an intelligent platform to digitalize the production lines. The systems were interconnected via IoT devices without requiring structural modifications. Collected data is now processed by the Zerynth Platform’s AI Engine and natively integrated with the existing MES system, transforming field data into immediate operational insights.

The Results

By utilizing clear KPIs and detailed reports, NTFood has reduced non-value-added activities and identified anomalous energy consumption. This total visibility has enhanced strategic decision-making, making processes more competitive and ready to access Industry 5.0 incentives.

Company

NTFood (Morato Group)

Industry

Food

Asset

15 mixing, cooking, and packaging systems

Results

Productivity
Increased by 30% by optimizing workflows and plant yield.

Downtime
Reduced by 25% thanks to a predictive alarm system for timely interventions.

Energy Efficiency
+18% by identifying consumption anomalies and reducing operational waste.

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