Professional Case Study

Network Missort Analytics & $3.3M Cost Reduction

Turning USPS missort assessments into trusted network intelligence, operational action, and measurable cost reduction.

This is a sanitized professional case study. No proprietary datasets, customer information, confidential business rules, internal screenshots, or production code are published here.

The business problem

USPS missort assessments were more than a financial penalty. They contained actionable information about where packages were being mishandled across the distribution network, why the failures were happening, and where corrective action could have the greatest impact.

My role & ownership

I partnered directly with the Sr. Manager of Quality to turn the problem into a practical analytical product. I had substantial input into the business rules and causal logic, and I owned the database development, data architecture, ETL, and Power BI reporting solution.

How I built it

  • Integrated data from multiple source systems into SQL Server using SSIS.
  • Designed the tables, historical structures, data models, transformations, business logic, and supporting database objects.
  • Built the Power BI solution with operational KPIs, trend analysis, summary views, and drill-through to package-level detail.
  • Designed analysis across customer, facility, date, routing behavior, sort location, and causal factors.
  • Worked with Quality, Operations, Master Data, Postal teams, and subject-matter experts to validate the logic against real network behavior.

Rollout & adoption

I supported presentations and training sessions with General Managers, helped demonstrate how the report could be used operationally, and remained involved after launch to answer user questions and investigate reporting issues.

$3.3M
Approximate cost reduction attributed to the initiative — 133% of the savings goal.

Why it mattered

The solution gave Operations, Quality, and Customer Service a repeatable way to identify network problem areas, investigate why missorts were occurring, and target corrective action. Just as important, it converted a loosely defined operational problem into trusted analytical logic and a usable BI product.

What this demonstrates

End-to-end ownership across requirements, business-rule design, ETL, database modeling, Power BI development, stakeholder validation, rollout, user support, and measurable business impact.

Focus Network analytics, root cause analysis & cost reduction
Tools Power BI, SQL Server, SQL, SSIS, SQL Server Agent
Ownership Business logic, data model, ETL, BI development & support
Public data Sanitized summary; synthetic demonstrations only