Artificial intelligence and data-driven algorithms reflect a new era for the fragrance industry that is being developed through machine learning. Several top fragrance developers have designed and launched their own in-house AI platforms as well as digital reference directories for use by both clients and industry professionals.
The capacity to quickly suggest alternate ingredients or formulas is one of the most important advantages of AI for fragrance manufacturing. Many cultural forces are currently being tackled by the fragrance industry, such as the production of natural or ‘clean’ fragrances that minimize the use of synthetic ingredients and the impact of raw ingredients from natural calamities or deforestation.
A first-ever AI-made fragrance is also available in Brazil, called Philyra, which was developed as a partnership between IBM and Symrise, a major supplier of flavors and fragrances. Philyra can learn about formulas, raw materials, historical performance data, market patterns and is created by perfumer David Apel to develop new fragrances for the Brazilian cosmetics company O Boticário, one of the world’s top beauty companies.
To identify various patterns and perfume combinations easily by going through hundreds of different perfume formulas and raw materials, Philyra uses a variety of modern and advanced machine learning algorithms. This then also allows entirely new fragrance formulas to be created.
As AI can beat nothing in terms of data work, IBM researchers have used data-based techniques to use previously designed information on formats, fragrance families, raw materials, and context information on fragrances and formulations. The machine learning algorithm produces new combinations of these equations that have been adapted to the consumer’s demographic and character.
The whole architecture focuses on machine learning, with researchers from IBM & Symrise hoping to bring AI perfume technology to the world. Furthermore, the unit may also be used for other types of applications, including the manufacture of flavors, cosmetics, and household goods, such as detergents and washing products.
It seems probable that solutions like Philyra would become regular instruments in the manufacture of new fragrances. Since Symrise will eventually have the competitive advantage of analyzing data and learning facilities, information and data resources must be increasingly employed by the company. With its massive fragrance database, the company is exceptional in terms of developing proprietary software, which helps it gain a competitive advantage. The joint effort of data scientists and perfumers seems to be only a continuation of the art and science that has since prehistoric times created fragrances. Although IBM’s partnership has been used to attract attention, for decades to come, AI technology will be used behind the curtain to preserve the magic that embraces our favorite fragrances.
Another recent example is NINU, the 1st SMART perfume in the world (patent-pending), with an AI-driven app. Peter Florjancic, the greatest innovator in the history of perfume, inspired it. NINU has also been named as a reference to the world’s first two registered perfumers. NINU is a fresh breeze in the typical perfume market. It honors tradition and builds on a centuries-old legacy by taking advantage of the latest developments in technology. By combining three different high-quality fragrances into a single high-tech interface, it helps you to find your scent and play with it. This is a simple innovation and patent-pending that lets you customize your perfume to suit all moods and occasions. Every day, their mission is to provide vibrancy (and new dimensions).
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