How Agentic AI Can Go Beyond Expectations in Tackling Logistics Issues

Logistics and supply chain management embraced automation long before the current AI wave hit the shores of other industries, with predictive analysis and machine learning becoming  cornerstones of the way the supply chain industry operates. For example, big freight companies use algorithmic carrier pricing to design optimal routes for truck drivers so that there are fewer empty miles.

However, agentic AI and other developments in technology could help the industry move beyond task-specific automation, opening up a wealth of new possibilities. Rather than purely focusing on cost reduction and improved efficiency, it could lead to a completely new way of managing compliance and customer satisfaction.

Evolving Beyond Automation Limits

Most AI solutions in logistics at the moment focus on making repetitive tasks — such as inventory management or route optimization — more efficient. But sometimes these systems can operate in silos where they rely on human intervention to bridge the gaps between processes. This is where agentic AI can offer agents…