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Project
Supply Chain Analytics
End-to-end supply chain analytics covering inventory health, OTIF performance, and segmentation across distribution nodes.
SQLPower BIExcelDAXSupply Chain Modeling
Project Overview
Analytical models and dashboards focused on inventory health, service levels, and segmentation to support supply chain decisions.
Business Context
Multiple distribution nodes operated with inconsistent visibility into inventory health and service performance, making S&OP cycles reactive.
Solution
Built integrated SQL + Power BI models with ABC/XYZ segmentation, OTIF tracking, and exception views feeding the weekly S&OP review.
Technologies
SQLPower BIExcelDAXSupply Chain Modeling
Screenshots Gallery
Screenshots will be added here.
Video Demonstration
Video walkthrough will be added here.
Key Learnings
- Data quality at the source is the largest analytics constraint.
- Segmentation frameworks (ABC/XYZ) are simple but high impact.
- Aligning analytics with the S&OP cadence drives adoption.
Business Value
- Clearer view of inventory and service performance.
- Structured input into S&OP decision-making.
- Foundation for further supply chain optimization.
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