The Challenges
The food production sector plays a fundamental role in the global economy. The growing demand for high-quality, sustainable and traceable food has presented new challenges and opportunities for companies in the industry.
Pelosi, a company specializing in the processing and packaging of carrots, sought assistance from Zerynth to streamline the production process, gain complete visibility into te quality of carrots obtaining tax benefits for Industry 4.0.
The Solution
The company implemented Zerynth Industrial IoT & AI Platform on some of 4.0-ready machinery to optimize the entire production process and enable the company to access tax incentives.
Zerynth Edge Devices collect and process data directly on the edge, sending information directly to the platform for visualization of production-related data.
The platform, in this way, provides clear and detailed information about the real time and remote status of each machines, obtaining insights into any ongoing alarms through charts and tables.

The Results
Pelosi, thanks to Zerynth, is now able to identify and monitor key KPIs related to the quality of carrots in real-time. This has allowed them to assess objective data that enables more targeted negotiations with suppliers, setting prices on the actual quality of the product.
The company obtained complete traceability of production, optimized monitoring processes and enhanced the overall production and resource management, all of that with Tax Benefits.

Company
Pelosi S&C Srl
Industry
Food Industry
Asset
Palletizer, Weigher, Sorter, Pallet Legger
Profile
Pelosi S&C Srl is an italian company that has been cultivating and packaging carrots for over fifty years for small, medium and large organized distribution.
Results
Gaining visibility into the quality of the final product
Real-Time monitoring of each process
Obtaining Industry 4.0 Tax Credit
Access to tax incentives and benefits for interconnecting Industry 4.0-ready machinery
Optimizing production processes
Improved resource management through informed decision-making
