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Anticipate, optimize, perform: Coffein Compagnie Italy S.r.l. relies on predictive maintenance

Coffein Compagnie Italy is a key player in the transformation and purification of caffeine. Specializing in the recovery of coffee by-products, the company produces high-quality caffeine used in the food, cosmetics, and pharmaceutical industries.

Based in Italy, the company is committed to continuous industrial improvement, combining performance, sustainability, and technological innovation.

Reduced maintenance time through early fault detection

Improved planning and organization of maintenance activities

Optimized spare parts and inventory management

The start

Under the leadership of Sergio Roversi, Maintenance and Plant Manager, Coffein Compagnie Italy sought to improve the reliability of its maintenance operations and reduce unplanned downtime.

Until recently, technical monitoring was done manually, which limited the team’s ability to react to mechanical deviations and made maintenance planning more complex. The goal was to move towards a predictive maintenance system, capable of anticipating failures and providing real-time visibility into machine conditions.

The solution

To achieve this, Coffein Compagnie Italy partnered with Sensorfact to implement a continuous vibration monitoring system.

“What made the difference was having real-time data and alerts,” explains Sergio Roversi. “We can now anticipate failures and take action before a problem occurs.”

This automatic monitoring has placed predictive maintenance at the core of operations. The data collected enables better preparation of interventions, more efficient stock management, and improved scheduling of maintenance tasks.

The results

The benefits were immediate:

  • Reduced maintenance time thanks to early fault detection,
  • Improved team organization and optimized scheduling,
  • More efficient spare parts and inventory management.

Beyond maintenance, this approach has also paved the way for a broader monitoring strategy, particularly for energy monitoring systems, where the company has already identified new opportunities for savings and process optimization.

After observing the numerous benefits of predictive maintenance, the company decided to increase the number of measurement points to gain even more precise insights across its production lines. They also chose to install water and compressed air sensors — tools that offer operators and technical managers clearer visibility into system performance, helping them detect inefficiencies earlier, prioritize interventions, and make data-driven decisions to improve daily operations. This enhanced monitoring enables a more comprehensive view of resource usage and overall efficiency.

Quote

Predictive maintenance has helped us save time and gain accuracy, but it has also given us deeper insight into our overall consumption. The monitoring of air and water has become a natural extension of this optimization process.

Sergio Roversi Coffein Compagnie Italy Maintenance and Plant Manager

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