This research aims to develop a framework for detecting margin leakage across fragmented enterprise systems.
Proposed a Margin Signal Governance Framework comprising six stages: signal identification, pathway mapping, leakage classification, exposure translation, ownership routing, and outcome measurement.
Conducted a discrete-event simulation over 180 operating days involving 13 enterprise systems and extensive data sets for sales and purchase orders, logistics, and pricing.
Implemented a governed analytics control layer for data mapping, signal extraction, leakage taxonomy management, and decision orchestration.
Reduced median margin intervention latency from 55.4 hours to 12.6 hours compared to traditional methods.
Increased detection precision from 62.8% to 86.9%, significantly improving leakage containment from 33.6% to 76.4%.
Generated an annualized net economic value of USD 7.42 million through effective cross-system governance.