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Astn’go at a bottling company

The 06/11/2026
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Reading time
2 min
Emmy Lecarpentier
Marketing

This wine trading company, which specialises in wine bottling, chose Astn’go to optimise its three production lines across two plants in Burgundy. With Astn’go’s IIoT installed directly after the labelling machines, the company benefits from accurate, reliable real-time data collection.

Astn’go digitalises 2 bottling sites to improve performance

  • 2 sites digitalised with Astn’go
  • 100 employees
  • €100 million turnover
  • 40 million bottles tracked by Astn’go each year

Performance Improvement Manager:

“Astn’go has become an essential tool for us, whether for analysis, decision-making, implementing solutions or tracking how effective they are.

We have definitely made money thanks to Astn’go.”

Astn’go is installed and used at two separate sites: two lines in the first plant and one in the second. This set-up provides a global view of production and enables areas for improvement to be identified quickly. All the data collected by Astn’go is centralised at the first plant, where it is analysed and used to build action plans.

Significant gains with Astn’go:

  • Identification des micro-arrêts : Astn’go a révélé l’impact Identifying micro-stoppages: Astn’go revealed the significant impact of micro-stoppages on performance, a phenomenon that had previously been underestimated.
  • Optimising changeovers: Data analysis highlighted the time lost during changeovers, leading to a reorganisation of processes.
  • Identifying ageing machines: Astn’go made it possible to spot ageing machines that were slowing down production, making maintenance and replacement decisions easier..
  • Greater depth of analysis: Astn’go’s ability to detect micro-stoppages enabled a more detailed performance analysis, uncovering unexpected areas for improvement.
  • Decision support: Dashboards and Pareto charts give a clear view of the data, making decisions easier.
  • From paper to digital: Astn’go replaced time-consuming, inefficient paper-based data collection with automatic, real-time data collection.