Caterpillar is shifting from reactive maintenance to proactive, AI-assisted field service and autonomous capabilities to improve efficiency and safety, while addressing technician skill gaps and operations in remote environments.

The company runs a large e-commerce platform handling roughly $5 billion in digital transactions annually and maintaining about 1.5 million parts to support equipment spanning decades.

A broad digital transformation under Chief Digital Officer Ogi Redzic aims to connect machines, customers, and dealers through digital platforms and AI across the business.

The next phase focuses on physical AI, embedding intelligent computing into machines in collaboration with NVIDIA, enabling local data processing and greater autonomy, including autonomous mining equipment already in operation.

Caterpillar’s digital organization has grown from about 600 to nearly 3,000 professionals, building a scalable foundation to support e-commerce, fleet management, and technician tools.

Helios, Caterpillar’s data platform, aggregates dozens of data sources and processes massive operational data to fuel AI and ML recommendations for dealers and customers, following consolidation of disparate systems.

Predictive maintenance monitors 1.5 million connected assets using telematics, sensors, oil analysis, and environmental data to generate high-priority, high-resolution service events and reduce unplanned downtime.

AI assistants assist technicians with inspections and repairs using a knowledge base of about 25,000 manuals and documents, with plans to extend support through smart glasses for field work.