Aeroflot has begun using artificial intelligence (AI) to predict demand for air travel and optimize internal processes. The airline's inclusion in the Artificial Intelligence Alliance will help develop new technologies and improve the economic efficiency of operations.
One of the key projects is the Automated Revenue Management System (ARMS), which uses neural networks to accurately predict demand for air travel for a period of 3 days to 1 year. This allows for the most efficient use of aircraft capacity and optimization of profits. In the first stage, the economic effect from the introduction of ARMS is expected to be at least 3 billion rubles.
The company plans to introduce digital twins — virtual models that will allow duplicating key processes and optimizing them, creating a base for continuous machine learning. This will also help improve internal workflows and increase overall efficiency.
The Artificial Intelligence Alliance, which Aeroflot has joined, includes 12 companies and unites more than 90 participants working in various sectors of the economy. This association was founded in 2019. It aims to solve common problems and tasks, including the development of infrastructure, self-regulation, education and quality assessment of AI solutions.
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