Multi-agent collaboration involve multiple autonomous AI agents acting independently to achieve a goal. For many logistics organizations, however, rule-based automation still provides the most pragmatic and impactful solution.

While the concept of AI "agents" is generating significant buzz, it's critical for logistics professionals to understand the difference between agent-based AI and the more widely adopted workflow automation platforms that dominate today’s enterprise stack. While agent-based AI holds promise, regulated logistics workflows require a cautious, transparent approach. Today’s compliance best practices use workflow automation platforms that support compliance.

In an age dominated by AI headlines, logistics and supply chain leaders are still struggling with EDI, XML, and CSV. Here’s why workflow automation is still essential and how it differs from AI.