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Nestlé

Nestlé improves the quality of its products with AVEVA CONNECT and Advanced Analytics

Nestlé is committed to empowering its employees to innovate in solving industrial problems. To optimize production of its Nesquik and Ovaltine powdered beverages, the food group needed to correct moisture and density variability resulting from manual processes, which hurt yield and generated waste on the lines. In partnership with AVEVA, Nestlé built a solution combining AVEVA CONNECT, AVEVA Historian and AVEVA Advanced Analytics to leverage real-time production data and apply advanced analytics to the agglomeration process, during which the product must reach an optimal "fluffiness." The benefits are tangible: 10% less waste on production and packaging lines, up to 10% savings on powder packed in jars, a 10% reduction in weight variation from one Nesquik jar to the next, and a measurable improvement in product consistency that translates directly into greater consumer satisfaction.

Objectives

  • Reduce moisture and density variability of Nesquik and Ovaltine powders resulting from manual processes
  • Improve product yield penalized by humidity differences in the agglomeration process
  • Reduce waste on production and packaging lines due to non-compliant products
  • Leverage real-time cloud data and advanced analytics to achieve optimal "softness" and improve consumer-perceived product consistency

Solutions

  • CONNECT
  • AVEVA Historian
  • AVEVA Advanced Analytics

Results

  • 10% less product waste on production and packaging lines
  • Up to 10% savings on powder in jars
  • Reduced weight variation from one Nesquik pot to another by 10%
  • Improved product consistency and consumer satisfaction

FAQ

How does AVEVA CONNECT help Nestlé reduce waste on its food powder production lines?
On the Nesquik and Ovaltine lines, Nestlé centralized real-time data from the agglomeration process using AVEVA CONNECT, AVEVA Historian and AVEVA Advanced Analytics. Advanced analytics continuously correct moisture and density variability to achieve the optimal "fluffiness." The result: 10% less waste in production and packaging, up to 10% savings on powder packed in jars, and a 10% reduction in weight variation from one Nesquik jar to the next, reflecting genuine industrial performance in food manufacturing.
What role does AVEVA Advanced Analytics play in optimizing an agglomeration process?
AVEVA Advanced Analytics uses real-time production data collected by AVEVA Historian and CONNECT to model the behavior of the agglomeration process at Nestlé. The solution identifies the optimal moisture and density parameters, anticipates drifts and guides operators toward the best setpoints. This approach turns a historically manual production process into a data-driven one, in which every jar of Nesquik or Ovaltine meets a consistent quality standard, an essential condition for maintaining consumer satisfaction worldwide.
Why is the AVEVA CONNECT cloud relevant for a multi-site food manufacturer like Nestlé?
AVEVA CONNECT gives Nestlé a unified cloud platform to collect, contextualize and analyze production data from its Nesquik and Ovaltine lines. The cloud makes it easy to deploy advanced analytics quickly without heavy hardware investment and to replicate best practices from one site to another. It accelerates digital transformation for food groups looking to industrialize their data use cases and democratize access to real-time information for field and quality teams.
What financial and quality gains has Nestlé achieved thanks to AVEVA?
The results measured by Nestlé are concrete: 10% less waste on production and packaging lines, up to 10% savings on powder packed in jars and a 10% reduction in jar-to-jar weight variation. Beyond the figures, product consistency has improved markedly, translating directly into greater consumer satisfaction. For a global food company, these combined gains (materials, quality, brand image) generate a fast, lasting ROI on the AVEVA investment.
How is advanced analytics transforming product quality in the food industry?
Advanced analytics makes it possible to move from reactive quality control (end-of-line sampling) to predictive, continuous process control. At Nestlé, AVEVA Advanced Analytics corrects agglomeration process variability in real time, ensuring a consistent product jar after jar. This data-driven approach is part of an Industry 4.0 strategy in which quality is no longer inspected but built in. It is a strategic lever for manufacturers who must balance volumes, traceability and brand image in highly competitive markets.