用AI人工智慧自動化倉庫物流
由於電子商務暴增，加上短程運送次數的增加，各大物流倉儲已到達極限。各轉運中心、配發中心、和物流中心窮於應付快速增加的需求，還要避免犧牲正確性和生產力。是時候考慮採用基於人工智慧科技的物流解決方案來幫助您擴大營運、改善流程效率、並確保工作場所安全了。
以AI人工智慧改善倉儲作業
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。
Receiving
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.
為倉庫和物流構建全面的人工智慧解決方案
AI 解決方案必須提供執行倉庫任務所需的反應能力、效能、可靠性和開發環境。
