EuroChem AI recommender systems deliver $19 million boost across fertilizer plants

EuroChem’s AI-based recommender systems delivered a cumulative economic effect of more than 1.5 billion rubles ($19 million) across its mineral fertilizer production from 2023 to 2025, the company said. The tools now run on ammonia, urea, the acid stage, and complex fertilizer lines.

Recommender systems are AI-based digital advisers that suggest optimal settings for operators, analyzing data from hundreds of sensors and dozens of factors, including feedstock quality and weather. The flagship deployment is in ammonia, where the model processes more than 1,500 process parameters in real time, lifting ammonia output by over 1% and cutting specific natural gas consumption by more than 2%. That is worth over 200 million rubles ($2.6 million) per shop each year. In 2026, EuroChem rolled out the systems across all its Russian ammonia plants.

Similar gains followed elsewhere. Urea output rose more than 1.5%, and complex fertilizer output was about 1%, while virtual quality analyzers were added in the complex fertilizer shop to maintain product quality. Deputy general director Denis Samokhvalov said the systems have matured from pilot projects into a full industrial tool.

The figures build on EuroChem’s earlier disclosure that its broader AI and digital program topped $50 million in gains. The company plans to scale the recommender systems to new plants and to link digital models across stages of the production chain.

Source: Vedomosti