DISCOVERY & DATA REVIEW

To begin, the teams collect, profile, validate, and align on data and process reality before any modeling or recommendations for inventory solutions are developed. More time in discovery is intentionally spent identifying where the data breaks—such as silos, inconsistent definitions, and missing master data. This often starts with a structured value audit to pinpoint data issues, process bottlenecks, and high-error areas that materially impact performance and hinder efforts to optimize your inventory. By employing Supply Chain Analytics, organizations can enhance their understanding of these issues, leading to effective Supply Chain Optimization.