Russia is developing an AI platform for forecasting demand

Automation of technological and business processes based on artificial intelligence technologies will allow

Reduce the production time of flexible packaging and increase the percentage of orders completed on time.The neural network is trained on data collected by Danaflex over the past few years.Thanks to the development, there will be a sufficient amount of raw materials in the company's warehouses, and the production lines will beRationally start with the least downtime.

Danaflex packaging is essentialcomponent in food production. At the moment, the main problem for the industry is long production cycles and the complexity of forecasting consumption volumes. The goal of this project is to dramatically reduce the time required, which in turn will lead to significant savings throughout the entire production chain. Danaflex works with the largest food manufacturers both in Russia and abroad.

"Institute of Artificial Intelligence last 3has been working on the creation of an AI platform, including one based on neural networks, the services of which increase the efficiency of technological and business processes in large Russian companies. The partnership with Danaflex is an important event for the development of artificial intelligence in industry. In the field of polymer production, according to our data, there are no analogues of such predictive analytics services, so this solution can potentially be scaled to the entire industry,” said Ramil Kuleev, director of the Institute of Artificial Intelligence at Innopolis University.

“Innopolis University is the largest R&Dcenter in the Russian Federation in the field of digital economy. The project portfolio of the Russian IT university includes numerous projects in all areas of “end-to-end” digital technologies. It is natural that we chose Innopolis University as a partner for the digital transformation of production,” said Danaflex Director Aidar Safin.

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