Key data from the study on BP AI tanker logistics optimization: 1. Statistics on AI implementation in logistics: - 65% of logistics providers and shippers have already implemented AI solutions - Only 22% have achieved significant results due to a fragmented approach 2. Oil and gas industry context: - Operating costs have increased by ~15% since 2023 - Digital transformation is particularly relevant in the LNG segment (capacity growth of 30% by 2030) 3. Results of AI optimization in shipping: - Fuel consumption reduction of 10-15% - Reduction of vessel downtime by 20% 4. Global trends for 2026: - Tightening climate regulations (EU's Fit for 55 package) - Investments in "smart ports" growing by 25% annually - Geopolitical risks increasing delays on key routes (Suez Canal +30%) 5. Opportunities for ASI Biont: - Creating AI agents for predictive demand analysis - Dynamic route optimization considering weather and port queues - Managing carbon footprint in logistics chains Target audience: logistics professionals, oil and gas company analysts, supply chain optimization specialists.