Insights

Supply chain disruptions are now the norm, not the exception. Traditional methods, merely reacting to events, fall short. This whitepaper, “Scaling Geospatial AI Across Complex Supply Chains,” introduces Geospatial AI as a transformative solution, leveraging location data to drive profit and efficiency.

The core message is a “pilot first, scale fast” approach. By starting with focused, small-scale pilots, businesses can rapidly demonstrate measurable Return on Investment (ROI) within weeks. These successful pilots, built on a secure and scalable Google Cloud blueprint, then seamlessly expand across the entire enterprise.

The paper highlights compelling industry examples:

• Shipping: Real-time data integration for predictive forecasts, reducing idle vessels and optimizing routes.
• Agriculture: AI models predicting perishable margins for better yield validation and less waste.
• Energy: Drone and satellite imagery for near real-time anomaly detection in pipelines, shifting from reactive inspections to predictive integrity.

The technical foundation is a modern geospatial AI platform. Google Cloud services like Pub/Sub, Dataflow, BigQuery GIS, Earth Engine, Vertex AI, Looker, and Google Maps Platform provide a robust and secure backbone, ensuring pilot successes can be replicated and expanded without significant redesign.

This blueprint empowers organizations to shift from reactive to proactive decision-making, delivering substantial operational improvements and financial gains across various industries.