EuroChem

About the company

EuroChem is a top-5 global producer of mineral fertilizers and a top-3 supplier of mineral fertilizers to Russian agriculture.
The company operates its own production facilities across all major fertilizer segments: phosphate, potash, and nitrogen.
Sales geography: 100 countries, 30,000 customers. Approximately 350 million people worldwide consume food produced using our fertilizers.

 

Description

Product

AI platform for managing chemical production

In corporate functions, AI enhances the quality of management decisions and reduces costs. Algorithms are applied in legal matters, debt management solutions, price forecasting, procurement, document processing, and other areas, helping to plan resources more accurately and minimize risks. Altogether, this creates a unified digital environment where data becomes the basis for fast and well-grounded decision-making at all levels of the business.
The product is a complex of AI solutions supporting a unified digitalization strategy of the company and seamlessly embedded into operational and production business processes to improve their efficiency.

Software “Process Modeling”

The project on import substitution of software for process modeling is aimed at creating a domestic platform for high-precision “rigorous” (first principle modeling) process simulation. The platform allows engineers to perform calculations in a single environment, test changes in technologies, identify opportunities to increase productivity/throughput, debottleneck constraints, and find optimal operating modes to improve production efficiency without risk to real production.

Development of a unified industry MES solution for the chemical sector (jointly with JSC “Apatit” (PhosAgro Group))

Creation of a comprehensive Russian digitalization system combining several areas:
• Import substitution of MES-class systems
• Production data platform
• Tool for rapid implementation of digital ideas

Predictive diagnostics

The project предусматривает implementation of a predictive diagnostics system to ensure continuous monitoring of the condition of key equipment. The solution provides early detection of failure risks, records deviations from standard operating modes, and forms a basis for advance planning of maintenance activities, preventing аварийные downtime.

Recommendation system
Online assistant for managing technological режим for shift personnel
InsEf

Machine learning–based recommendation systems in real time that continuously optimize technological processes by providing operators with optimal process settings, ensuring maximum production output with minimal raw material consumption.

MAP