乐动安卓
from
大
data
Symrise的香水师不仅需要有一种精致的嗅觉，特别是创造性的，并且了解香水的世界 - 他们也需要有很多耐心。乐动安卓为了找到制作微妙差异的组合物，香水师经常经营许多测试，加入成分或改变它们的金额。这意味着它们在仍然知道的同时改变公式，即一些气味分子可以在肥皂中完全不同于洗涤剂或昂贵的香料。这项工作的一部分现已被普利莱莱，这是一个数字助理，这将改变对马来西亚香水发展的未来。
宝藏价值数百万
The project is a result of the Future Generation program. In this program, Symrise brings together junior managers from throughout the company. In small teams, they further develop cross-divisional projects that have strategic significance. One area dealt with the topic of big data: How can Symrise better use the abundance of data that could be collected and evaluated in the business units? The young managers discussed this question with different suppliers that the company collaborates with in the area of digitalization. The idea of creating fragrances with the help of artificial intelligence ultimately arose when talking to IBM.
乐动安卓
from
大
data
在科尔aboration with IBM, Symrise has developed a method that helps perfumers create fragrances. Algorithms and artificial intelligence are used to analyze and further develop the formulas that are in the fragrance manufacturer’s database. The first fruits of the “Philyra” project are here: two perfumes for the Brazilian cosmetics giant O Boticário.
Symrise的香水师不仅需要有一种精致的嗅觉，特别是创造性的，并且了解香水的世界 - 他们也需要有很多耐心。乐动安卓为了找到制作微妙差异的组合物，香水师经常经营许多测试，加入成分或改变它们的金额。这意味着它们在仍然知道的同时改变公式，即一些气味分子可以在肥皂中完全不同于洗涤剂或昂贵的香料。这项工作的一部分现已被普利莱莱，这是一个数字助理，这将改变对马来西亚香水发展的未来。
宝藏价值数百万
The project is a result of the Future Generation program. In this program, Symrise brings together junior managers from throughout the company. In small teams, they further develop cross-divisional projects that have strategic significance. One area dealt with the topic of big data: How can Symrise better use the abundance of data that could be collected and evaluated in the business units? The young managers discussed this question with different suppliers that the company collaborates with in the area of digitalization. The idea of creating fragrances with the help of artificial intelligence ultimately arose when talking to IBM.
在科尔aboration with IBM, Symrise has developed a method that helps perfumers create fragrances. Algorithms and artificial intelligence are used to analyze and further develop the formulas that are in the fragrance manufacturer’s database. The first fruits of the “Philyra” project are here: two perfumes for the Brazilian cosmetics giant O Boticário.
Christian Schepers,
Manager in Global Business Support
in the Fragrance division at Symrise
在科尔aboration with IBM, Symrise has developed a method that helps perfumers create fragrances. Algorithms and artificial intelligence are used to analyze and further develop the formulas that are in the fragrance manufacturer’s database. The first fruits of the “Philyra” project are here: two perfumes for the Brazilian cosmetics giant O Boticário.
Christian Schepers,
Manager in Global Business Support
in the Fragrance division at Symrise
At first this sounds simple, but in practice it is highly complex. “We have around two million formulas for fragrant mixtures in our system, and a large number of them have been sold to customers in the past,” says Christian Schepers, describing the scope of the task. The manager in Global Business Support in the Fragrance division at Symrise is in charge of the project. “This data is a true treasure if you know how to use it.”
香味食谱在这里起着高度多样化的角色。他们中的一些是“香水世界上的图标”，因为Schepers称它们称为他们一次又一次地销售，因为他们是第一次创造的。然而，其他人更短暂。每年推出几百新香水 - 从限量版圣诞节香水到洗涤剂或洗发剂的乐动安卓季节性混合物 - 必须准备成千上万的测试样品以找到合适的产品。“我们的初步方法是，数字化可以帮助我们涵盖这些更短的产品周期，使开发更有效。”
Even computers have to learn
该过程基于最初由程序员馈送的算法，但这将通过人工智能越来越多地喂养和改善。IBM以加密的形式发送所有食谱，而没有产品的真实名称或其原材料。“混合物是我们的首都，我们不想只是放弃，”基督教舒佩解释这一步后面的推理。然后将该算法编程为此，使它们可以 - 非常简单地 - 分析香料，应用领域，各种市场和销售数据的因素的结构，并最终基于此基础设计新的香水。乐动安卓“例如，我们为春天拉丁美洲的洗涤剂投入了香味。在按下一个按钮，系统发现在50,000到70,000公式之间，并过滤出在秒内具有最高成功潜力的那些，“Schepers说。但大多数尝试并没有相当顺利地运行。“第一次测试距离工作数英里。之后，我们越来越地改善了算法。“一款香水，Schepers召回，闻起来很好，但被制成用于有气味的蜡烛。 The type of application also has to be factored in, just like dozens of other parameters.
The first milestones
The first products to hit the market were two perfumes for the Brazilian manufacturer O Boticário, the world’s number three in the industry. “It was very important for us to attract such a big partner in order to bring more attention to this innovative approach,” says Schepers. With the help of Philyra, the project began in January 2018. The market-ready product was presented at the World Perfumery Congress in Nice in June 2018 and went on sale in Brazil in June 2019. The automated creation is a product of the future, not least in considering the topic of regulatory requirements. If an ingredient is no longer allowed in a part of the world for regulatory reasons, it will be swapped out in the recipe. Most of the time there aren’t 1:1 alternatives, however. “We often have to incorporate multiple ingredients in the formulas to reach the desired result. This is very time-consuming,” explains Schepers. “Artificial intelligence will become part of the perfumers’ toolbox to solve this,” says the manager. “With this tool, they can their use creativity, resourcefulness and inspiration even better than before.”
