Stockers and Order Fillers
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Receive, store, and issue merchandise, materials, equipment, and other items from stockroom, warehouse, or storage yard to fill shelves, racks, tables, or customers' orders. May operate power equipment to fill orders. May mark prices on merchandise and set up sales displays.
The occupation of "Stockers and Order Fillers" faces a moderate automation risk of 56.0%, based on detailed analysis of task composition and existing automation technologies. The base risk is calculated at 56.7%, reflecting the significant potential for automation in many aspects of this role. Many repetitive and predictable tasks, such as stocking shelves, carrying out inventory checks, and fulfilling standard orders, can be streamlined through existing robotics and automation tools. However, this risk is not absolute, and numerous job facets require decision-making and adaptability that current machines lack, which keeps the total risk below high-automation scenarios. Looking more specifically at the tasks performed in this occupation, the most automatable duties include completing order receipts, answering customers' questions about merchandise and advising on selections, and issuing or distributing materials or products based on requisition data. These activities typically follow clear rules and can increasingly be handled by sophisticated software or automated kiosks, especially in environments like large-scale warehouses or retail chains. For instance, automated order systems and robotic picking technologies can rapidly generate receipts and distribute items, while AI chatbots are improving in handling basic customer merchandise queries. On the other hand, some critical tasks remain resistant to automation due to their reliance on human judgment, physical dexterity, and situational adaptability. Key resistant tasks are transporting packages to customers' vehicles, matching merchandise invoices to delivered goods for accuracy, and requisitioning merchandise based on a nuanced assessment of space, demand, and promotions. These activities require situational awareness, complex physical actions, and nuanced decision-making often beyond current automation capabilities. Underpinning these resistant tasks are bottleneck skills such as originality, with measured importance levels of 2.3% and 2.1%. These low originality scores reflect that while creativity isn't core for the majority of the work, a minimal degree of human problem-solving and response to the unexpected still forms a barrier to full automation.