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Tetra Pak Pioneers New Digital Technologies to Boost Efficiency for Customers

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Tetra Pak, Switzerland, reports that it is transforming its services by pioneering the use of latest digital technologies. The company has launched a suite of new services for its customers, focusing on improving the ability to predict machine errors, accelerating response times, and giving the customer faster, direct access to Tetra Pak's global expertise. 

Powered by Microsoft technology, these breakthrough digital solutions will boost manufacturers' efficiency, cut costs, ensure food safety, and ultimately drive their business forward..

Dennis Jönsson, president and CEO, Tetra Pak, said that "digital technologies are revolutionizing every industry, and it's exciting to make the latest innovations work for our customers. We are pleased to be the first to launch digitalized services, offering customers reduced costs, enhanced efficiency, and peace-of-mind. This is just the beginning of what promises to be a very exciting journey for us and our customers."

Tetra Pak's new service solutions for maintenance, issues monitoring, and resolution center around:
  • Connected workforce—Empowered with wearable technology, local Tetra Pak service engineers at customer sites are now able to connect directly with global Tetra Pak specialists wherever they are, providing real-time, expert support to customers. 
  • Advanced analytics—Data from filling lines around the world is collected into a central database from where it can be accessed and analyzed by a team of Tetra Pak's global experts. The robust database means that advanced analysis can be used to predict issues and optimize machine performance.
  • Connected solutions—All equipment at the customer’s plant can be connected to the Microsoft Azure cloud system managed by Tetra Pak, enabling machines at different production stages such as processing, filling, and distribution to communicate with each other and synchronize. This gives the customer an overview of the plant and offers performance optimization opportunities for the whole production process.

 

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