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AI analysis in the development of packaging material

An AI solution for making the research and development organisation more efficient of a global packaging manufacturer. Machine-learning models correlate chemical signatures with sensory outcomes and predict taste, odour and intensity when new packaging materials are developed.

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Food in a paper packaging box
WHAT WE BUILT

AI solution that predicts taste, odour & intensity

Advanced data preparationStructuring and quality-assuring chemical and sensory data from the lab.
Machine-learning modelsAdvanced AI models that correlate chemical signatures with sensory panel results.
PredictionTaste, odour and intensity predicted for new material candidates before they are produced.
Integrated interfaceA user interface built into the R&D workflow so researchers can interpret and use the model's output in practice.
WHY IT MATTERS

Fewer iterations, faster development

Shorter development cyclesPromising candidates identified earlier, fewer manual panel tests needed.
Practical AIA model that is used every day, not a concept & pilot left on the shelf.
MaintainableBuilt for retraining and operation as new data arrives.

Data-rich R&D of your own?

We help you find where AI adds value and take it all the way to production.

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