LossWatch Analytics

Unlike traditional security software, LossWatch Analytics focuses primarily on deep data mining and historical reporting rather than real-time alerts. It ingests data from various sources to run complex models that pinpoint systemic weaknesses in your loss control framework. This makes it a powerful backend reporting tool rather than an immediate security response system.

LossWatch Analytics is specifically designed to ingest data directly from standard Point of Sale (POS) systems and inventory logs. By combining these various data sources, the software can cross-reference information to uncover hidden patterns in shrinkage. This multi-source approach ensures a comprehensive view of organizational loss control.

Because LossWatch Analytics is built to run complex data models, it is generally most effective for mid-to-large-scale operations dealing with massive inventory logs. Small businesses might find the robust data mining capabilities excessive if they only have a single POS register. However, any business dealing with systemic, long-term loss discrepancies could benefit from its reporting features.

The software requires access to your business's POS data, manual loss reports, and daily inventory logs to run effectively. It uses this ingested data to identify systemic weaknesses and pinpoint exactly where shrinkage is occurring. Without consistent data feeds from these inventory sources, the analytics engine cannot generate accurate models.