AI Assistants for Logistics: Making Institutional Knowledge Operational in Live Environments

Over the course of many long-running logistics projects, a second layer of the system gradually emerges. It is often critical to daily operations, yet rarely visible at first glance: the accumulated technical knowledge surrounding processes, interfaces, custom logic, and customer-specific enhancements. What can initially be traced through a handful of core project documents becomes distributed over time across multiple documentation versions, technical specifications, interface descriptions, change requests, and implementation records. While the system continues to evolve, so does the volume of information that must later be brought back into context for informed decision-making.
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