Russia Develops an AI-Driven Supply Management System for the Auto Industry
An AI analytics platform aggregates data on available automotive components.
Russia is developing an artificial intelligence–based analytics system to manage supply chains in the automotive industry. The project was presented by Volgograd State University and is designed to ensure uninterrupted deliveries of key components used in vehicle manufacturing.
The “smart” system analyzes where specific auto parts are produced, assesses their quality, evaluates delivery options to individual plants, and takes into account manufacturers’ current production capacity, along with a range of other parameters.
A Resilient Supply Chain
According to Valentin Dzedik, vice rector for research at Volgograd State University, all of this information is consolidated into a single database. On that basis, the system can forecast the risk of supply chain disruptions, help select appropriate vehicle assembly technologies, and ultimately improve the resilience of the automotive sector as a whole.
The development is particularly relevant given the complexity of modern logistics networks, which involve enterprises across the country. The system analyzes data not only from Russia, but from global markets as well.
