Which option best is a method used by logistics companies to reduce mistakes in logistics records caused by human entry error?
The CLT ''Inventory Control and Data Accuracy'' standards emphasize automation of data entry and retrieval processes as the most effective method to reduce human error in logistics records. Automation integrates barcode scanning, RFID, and WMS systems to capture real-time data directly from material handling activities. This minimizes manual input errors such as miscounts or transposed digits. Automated data collection improves traceability, accelerates information flow, and supports immediate decision-making across the supply chain. While quality inspections remain necessary, relying solely on human verification is inefficient. CLT stresses that technology-driven accuracy enhances performance, lowers rework costs, and ensures that records reflect true inventory positions, enabling precise forecasting and order fulfillment.
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