Parma - Italy Oct 27 - 30 2026 #cibustec

Today, Food companies know that the best version of their company is already written in their data.

When put to value, data enables to embrace the complexity of production and better planning and management decisions can be made, resulting in a net reduction in waste and costs.

Much of the production softwares on the market do not go as far as the valorisation of data, thus offering users neither decision-making scenarios nor production automatisms. Companies that entrust their production to such tools risk missing out on the benefits that data-driven technology can offer. To maximise ROI, companies investing in production technology today must take into account the data-driven proactivity offered, and the ability of a solution to continuously innovate and remain flexible with respect to rapidly changing management needs.

Quindi is the first Production Copilot® for Food Manufacturing.

What is a Production Copilot? And how does Quindi extract maximum utility from production data? It's a smart recipe - all about data. Quindi is a solution that puts production data to use to provide decision-making scenarios, such as production planning, and to respond proactively and in real time to any critical event that occurs during the course of planned production - say, the breakdown of a machine or the unexpected absence of an operator. Just like when daily-use navigation apps warn us of an accident on our path and suggest an alternative route in real time, allowing us to reach our destination in the shortest possible time. For a solution like Quindi, the collection and display of data are fundamental steps, but not the end of the line. By combining hardware and software, data can be obtained faster and faster without insisting on human input, avoiding burdensome, low-value tasks for production operators. Quindi integrates a machine with PLC protocol in 5 minutes. And it also integrates machines without native connectivity, vehicles, warehouses, manual workcenters and even accessories, such as scales. This is not enough: today, the artificial intelligence that governs Quindi allows these data to be interpreted with respect to the context and to derive decision proposals both for day-to-day operational management and long-run continuous improvement projects. Moreover, thanks to the AI learning dynamics within the Quindi Copilot, the interfaces with operators and production managers are repopulated in real time according to the user and the state of production, to provide everyone with the information they need to proceed with their tasks. This is how a Production Copilot becomes useful to users, while massively smoothing the learning curve, just like in a mobile app. And the results can be seen: customers who have chosen Quindi reduce lead times by over 15% and save over 95% of the costs of planning and managing any operational roadblocks, resulting in much more efficient and sustainable production processes.

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