In the manufacturing industry, assets such as equipment, machinery, and vehicles are critical for ensuring that production targets are met and operations run smoothly. However, managing these assets can be challenging, as they may be spread across multiple locations and subject to a variety of environmental factors that can impact their performance.

AI and machine learning (ML) can play a key role in optimizing asset tracking and management in manufacturing companies. By training an ML model on data from various sources, such as asset usage, maintenance history, and environmental factors, our solution can provide real-time insights into asset performance, enabling manufacturing companies to take proactive steps to prevent downtime and reduce maintenance costs. In addition, ML models can be used to forecast asset lifespan and optimize maintenance schedules, helping to ensure that assets are performing at their best.