Case Study: Logistics Supply Chain Real-Time AI Optimization
Engineered real-time telemetry ingestion and machine learning predictive routing models for a 10,000+ fleet logistics operator, achieving an 18% reduction in fuel consumption and 99.4% on-time delivery rates.
Project Summary
Services Used: Data & AI Solutions
Tech Stack: Python, PyTorch, Kafka, Snowflake
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