The Intelligence Layer
Logistics optimization is a classic computational problem. CloudScale uses custom Routing Algorithms integrated with TensorFlow to predict delivery times and optimize fuel efficiency across thousands of daily routes.
Fleet Management
Real-time GPS tracking and geofencing were implemented using high-accuracy mapping APIs, allowing distribution managers to monitor fleet health and location with minimal latency.
Inventory Optimization
The AI model analyzes historical demand patterns to suggest optimal stock levels across distributed warehouses, reducing carrying costs by an average of 18%.