AI Supercharges Russia’s Chemical Industry Profits
A Russian fertilizer producer has built a data-driven “computational effects pipeline” that delivers provable evidence of how artificial intelligence boosts economic performance.
By introducing artificial intelligence into chemical manufacturing, the company has significantly improved its financial results, said Alexander Kotelnikov, head of the Industry 4.0 technology department, at the Smart Oil & Gas forum.
The economic effect by mid-2025 is estimated at nearly 3 billion rubles (about $33 million), with around 80% of the gains generated by machine-learning recommendation engines.
To track this impact, the company created a “computational effects pipeline” that measures digital transformation outcomes by comparing archived data before and after AI adoption. The platform evaluates dozens of parameters across chemical plants — from temperature and wind direction to the condition of catalysts — ensuring results are both data-driven and transparent.
Earlier, fertilizer giant EuroChem reported that recommendation systems installed at its Nevinnomyssk Azot plant add tens of millions of rubles (millions of dollars) to profits every year.
