Manual MAP monitoring is a costly, reactive bottleneck that erodes brand equity and channel trust. A custom automation workflow replaces this with continuous, scalable enforcement. The architecture ingests data via specialized scraping agents, classifies violations using image recognition and NLP, and triggers enforcement actions—from automated notifications to feed suppression—through integrations with e-commerce platforms (Shopify, Magento) and marketplace APIs (Amazon, Walmart). The operational upside comes from eliminating manual review labor, reducing violation dwell time from days to minutes, and protecting margin by preventing price erosion.




