How agentic AI works
Agentic AI operates based on two core functions: decision-making and reasoning. These AI agents are equipped with advanced algorithms that allow them to assess various options, balance trade-offs, and effectively handle new situations. While they possess powerful AI capabilities, they often seek input from other LLMs to tackle complex problems. Multiple LLMs are typically consulted, and their responses are cross-checked for consistency.
Moreover, AI agents are designed to be highly adaptable. They can modify their actions and strategies in real-time based on changing circumstances and immediate feedback. This flexibility enables them to function efficiently even in unpredictable environments, ensuring their continued effectiveness.
When applied in supply chain management, agentic AI streamlines logistics operations by autonomously managing the transportation, storage, and delivery of goods. These AI agents analyze and synchronize data from various sources, including inventory levels, delivery schedules, and current weather conditions.
