In order to reduce energy footprint and logistics expenses in the highly competitive supply chain of today, warehouses are using Pick-Support Automated Guided Vehicles (PS-AGVs). The efficiency of the system as a whole is greatly influenced by routing choices that are closely related to order assignment, grouping, sequencing, and early management because PS-AGVs use the majority of their power during the travel and acceleration phases. In order to reduce travel distance and watt-hour consumption, integrated planning frameworks utilize traffic-aware routing algorithms. This study reviews current developments in energy-aware order-picking. According to a comparative synthesis, models that incorporate two or more of these planning layers achieve average throughput benefits of, reduce trip distance, and improve on-time delivery reliability over single-issue approaches. The analysis provides actionable advice, demonstrating how warehouse managers choose and combine planning aspects to match order changes and service-level targets. As a result, this work offers a comprehensive research basis as well as a useful guide for constructing effective, customer-focused energy-efficient PS-AGV order-picking systems.