Decision acceptance deadline

21.04.25 (inclusive)

Form of award

Interaction and recruitment for work under the contract

Product status

Finished product

Task type

R&D Tasks

Сфера применения

Robotics

Область задачи

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.

Type of product

Software/ IS

Problem description

Identify anomalies and predict possible fuel shortages or surpluses.

Expected effect

• 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.

Full name of responsible person

Digital Government Support Center

Note