MASTER_DATAFeature guides7 minutes
When High Volume Meets Dock Rejection: Why Master Data Precision Dictates Execution Reality
A high volume utilization rate on screen frequently translates to dock-side rejection. This review examines how overlooked master data inaccuracies—unverified dimensions, missing pallet flags, or ignored weight-bearing limits—turn algorithmic success into physical impossibility. We contrast the common 'bulk import and assume' habit with a structured validation workflow. By tracing how AI parsing, parameter configuration, and field editing interact with solver logic, we establish clear judgment criteria for when automation is sufficient and when manual verification remains non-negotiable.