Fragrance Industry

By combining a substantial number of data points, the distillery’s machine learning AI was able to generate more than 70 million recipes

Machine learning based AI software for Product Composition can be generalized to other kinds of applications like designing flavors, lubricants or construction materials

Use Cases

Widely used by industries

Enhanced Quality
AI ensures good quality
Fragrance Development & Testing
Develop Fragrances using AI
Fragrance Forecasting
AI for Fragrance Forecasting

Enhanced Quality

  • AI is used for carrying out the quality control measures and predictive analysis of the fragrance products
  • Smart sensors keep a track of the operating conditions and performance of a fragrance product
  • AI sensors can easily detect any sort of microscopic defects, thus improving the quality percentage of the perfumes

Fragrance Development & Testing

  • Deep Learning algorithms help in testing the quality of fragrances with the prepared database of scents & aromas
  • AI suggests Raw material substitutes & complements to be used in the formulations
  • AI helps in producing exact dosage amounts of raw materials and predicting human response to newly developed fragrances

Fragrance Forecasting

  • Estimating Fragrance revenue by forecasting using Time Series Prediction
  • AI can be used for the prediction of raw materials consumption to ensure the production amount of materials
  • Deep Learning algorithms can be applied to predicting customers' buying patterns to ensure an efficient production rate
Enhanced Quality
AI ensures good quality
Fragrance Development & Testing
Develop Fragrances using AI
Fragrance Forecasting
AI for Fragrance Forecasting

Case Study

Explore our Case Study

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