Automotive shipping could use a resurgence with AI (artificial intelligence). Consider this: What if a system could autonomously manage 85% of shipping orders, minimizing the need for manual intervention? One company aims to do this with AI.
As one example, RunBuggy has launched RunBot, which is an AI system that integrates into RunBuggy’s transportation management platform. The company says this acts as the central nervous system for orchestrating the complexities of the automotive shipping process.
Here is how it works: RunBot uses machine learning models to prioritize operational tasks, predict delivery challenges, and offer insights. The predictive capabilities ensure logistical bottlenecks are anticipated well in advance. This allows for better operations.
Here is how this can help in automotive:
- Enhance user experience.
- Reduce operational overhead.
- Streamline operations for shippers and transport companies.
Looking to the future, we will see this technology continue to speed up operations while also keeping an eye on ultimate sustainability, by reducing empty miles. The end result is better business workflows, reduced costs, and a better environment for everyone.