Price: 0
Number of applications: 9
21.04.25 (inclusive)
Interaction and recruitment for work under the contract
Finished product
R&D Tasks
Robotics
Neurotechnology and artificial Intelligence
Purpose and description of task (project)
The AI model will analyze data on reserves, consumption, and external factors in real time, identify anomalies, and predict possible fuel shortages or surpluses. Machine learning algorithms will allow you to take into account seasonal trends, economic and logistical factors. The system will automatically notify responsible persons when risks are detected and suggest corrective measures.
Software/ IS
Identify anomalies and predict possible fuel shortages or surpluses.
• Analysis of historical data on consumption, reserves and supplies of petroleum products. • Forecasting seasonal trends and identifying anomalies. • Notification of possible discrepancies and risks of fuel shortage. • Integration with existing systems for automatic data updates.
Digital Government Support Center