人工智慧可以自動化倉庫操作，提升工人的工作表現，並將工人從單調的任務中解放出來。 以下是倉庫如何在整個工作流程中受惠於 AI 的案例。
AI-based receiving solutions can automatically identify and count received items, inspect them for damage, and provide a real-time report. AI-based vision systems can increase the speed and accuracy of returns processing by identifying the pieces of the returned item and checking them against a packing list.
Putaway and Replenishment
Material handling processes with AI technology can increase accuracy and productivity by sorting goods based on purchase order, product type/size, or part numbers. Compared to humans, autonomous mobile robots (AMRs) can typically operate in narrower aisles, thereby increasing floor space utilization.
Picking and Packing
Solutions with AI-based vision, like conveyers, collaborative robots, and palletizers, can help reduce picker travel time, increase picking accuracy and throughput, and automate picking and other manual processes. They can also check for product damage, verify the correct products are being picked, and capture proof-of-packing to resolve disputes.
Docking and Shipping
AI-enabled AMRs and autonomous forklifts can increase loading dock throughput by handling full, palletized truckloads and coordinating with robotic peers to keep goods flow error-free. AI-based vision systems enhance worker safety by alerting when warehouse workers lack proper personal protective equipment or enter restricted areas without authorization.