Industry
Real-world AI deployments tracked across organizations, countries/regions, and use cases.
Ground Transportation has 8 tracked AI use cases across 7 countries/regions and 7 organizations. Activity is led by Japan and China, with frequent examples from East Japan Railway and Baidu Inc.
Weekly updates linked by related use cases, industry tags, or report text.
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Bengaluru-based D2C grocery platform GreenCart replaced a static 2022-vintage dispatch system with an AI route-optimization engine, cutting cost per delivery 34% (₹42 → ₹28) and lifting metro-peak SLA adherence from 82% to 96% across 18 cities in 20 weeks.
Baidu's Apollo Go became the world's largest autonomous ride-hailing service by November 2025, completing 17M+ total rides with 250K+ fully driverless weekly trips across 22 cities globally, approaching profitability in Wuhan.
Uber Eats redesigned its homefeed recommendation system using a hybrid DLRM + Transformer architecture with real-time user behavioral sequence features. The system synthesizes billions of signals to power personalized restaurant discovery for millions of users on the Uber Eats platform globally.
VersaFleet deployed its AI-powered dynamic route optimization solution to help logistics companies reduce delivery times, lower fuel costs, and improve fleet utilization through real-time route planning and traffic-aware algorithms.
East Japan Railway Company (JR East) is deploying AI and drone-based inspection systems on Tokyo's busy Yamanote Line to detect pantograph damage in real time and dispatch drones to inspect overhead wires. Trials begin April 2026 with full operational deployment scheduled for fiscal year 2026, targeting approximately a 30% reduction in time required to resume service after technical incidents.
AI Monitored Train Pantographs represent a significant advancement in railway maintenance and safety, with JR East deploying AI systems to monitor pantograph conditions on the Yamanote Line in Tokyo. Pantographs are the apparatus on electric trains that collect power from overhead wires, and their condition is critical for safe and efficient train operations.
Rappi uses reinforcement learning algorithms to optimize courier assignment and delivery routing across its delivery network in Mexico, Colombia, Brazil, Argentina, and Chile. The AI considers real-time courier locations, order clustering, delivery time windows, traffic conditions, and individual courier performance to make optimal assignment decisions.
Kiwi.com uses AI and machine learning algorithms to optimize flight search results, predict price changes, and recommend optimal travel itineraries for customers booking flights worldwide. The AI system processes millions of search queries daily to deliver personalized travel recommendations and detect booking anomalies.
Every Ground Transportation deployment tracked in the catalog, A-Z.