Overview
Automated checks and governed updates for planning parameters (lead times, lot sizes, MOQ, safety stock drivers) to reduce errors and stabilize plans.

Problems We Solve

• Inconsistent parameters across sites/ERPs

• Manual updates with little auditability

• Planning errors traced to master data issues

What You Get

• Rule‑based validation (ranges, consistency checks, completeness)

• Exception reports and change requests with approvals

• Power BI dashboards: data health score, trends, and ownership

Inputs / Outputs

• Inputs: planning parameters, ownership, thresholds

• Outputs: exception list, approved changes, BI‑ready data health

How success looks like

• 80-90% of time saved on master data tasks

• 98-100% accuracy of masterdata

Typical Timeline

• Pilot: 3–5 weeks

• Scale: broaden rulesets/sites in 2–4 weeks

FAQs

• FAQ: “Can rules differ by site?” → Yes—parameterized governance.