This project is an end-to-end Inventory Intelligence Solution developed using Power BI to help inventory managers monitor inventory health, identify stock risks, optimize replenishment decisions, and gain product-level intelligence through interactive drillthrough analysis.
The dashboard transforms raw retail inventory data into actionable business insights using advanced DAX measures, inventory risk scoring, recommendation engines, and executive reporting.
✅ 1,670 Products Analyzed
✅ 14 Product Categories
✅ Inventory Health Score Framework
✅ Inventory Risk Assessment Model
✅ Product-Level Drillthrough Analysis
✅ Dynamic Recommendation Engine
✅ Executive Business Insights Dashboard
✅ Replenishment & Risk Monitoring Solution
Retail inventory teams frequently face challenges such as:
- Product stockouts
- Low-stock visibility
- Inventory risk exposure
- Delayed replenishment decisions
- Product-level investigation difficulties
- Lack of centralized inventory reporting
This solution addresses these challenges through a centralized inventory intelligence platform built in Power BI.
| Tool | Purpose |
|---|---|
| Power BI | Dashboard Development |
| Power Query | Data Transformation |
| DAX | KPI & Business Logic Creation |
| Excel | Data Preparation |
zepto-retail-inventory-intelligence-dashboard
│
├── assets
│ ├── Page1_Executive_Overview.png
│ ├── Page2_Risk_Replenishment.png
│ ├── Page3_Product_Intelligence.png
│ └── Page4_Executive_Insights.png
│
├── dashboard
│ └── Retail Inventory optimization Dashboard.pbix
│
├── reports
│ ├── Retail Inventory optimization Dashboard.pdf
│ └── Zepto_Retail_Inventory_Intelligence_Report.pdf
│
└── README.md
- Inventory Availability Monitoring
- Inventory Health Score
- Inventory Value Analysis
- Category Performance Tracking
- Inventory Status Distribution
- Discount Analysis
- Critical Inventory Monitoring
- Inventory Risk Score
- Inventory at Risk Analysis
- Reorder Product Identification
- Stock Bucket Analysis
- Category-Level Risk Assessment
- Product-Level Drillthrough Analysis
- Product Health Monitoring
- Dynamic Recommendation Engine
- Product Insight Generation
- Pricing & Discount Analysis
- Product Intelligence Framework
- Executive Summary
- Business Recommendations
- Action Matrix
- Key Findings
- Strategic Inventory Insights
- Decision Support Framework
| KPI | Value |
|---|---|
| Total Products | 1,670 |
| Categories | 14 |
| Inventory Availability | 87.86% |
| Out of Stock Products | 453 |
| Low Stock Products | 546 |
| Inventory Value | ₹22.43 Lakhs |
| Inventory at Risk | ₹7.20 Lakhs |
The project includes several custom DAX measures:
- Inventory Availability %
- Inventory Health Score
- Inventory Risk Score
- Inventory At Risk
- Product Recommendation Engine
- Product Insight Measure
- Inventory Status Classification
- Stock Bucket Classification
These measures transform raw inventory data into meaningful business intelligence and decision-support metrics.
- Replenish all out-of-stock products immediately.
- Reduce inventory risk exposure across critical categories.
- Establish automated reorder thresholds.
- Monitor low-stock products regularly.
- Optimize inventory allocation by category.
- Review inventory-at-risk segments.
- Improve demand forecasting.
- Implement proactive replenishment planning.
- Enhance inventory visibility through centralized reporting.
- Interactive Dashboard Design
- KPI Development
- Executive Reporting
- Drillthrough Navigation
- Advanced Business Measures
- Inventory Classification Logic
- Risk Assessment Measures
- Recommendation Engine
- Inventory Analytics
- Risk Analysis
- Data Storytelling
- Decision Support
- Data Cleaning
- Data Transformation
- Business Rule Implementation
The solution provides inventory managers and business stakeholders with a centralized platform for:
- Inventory Health Monitoring
- Stock Risk Identification
- Replenishment Planning
- Product Intelligence Analysis
- Executive Decision Support
This project demonstrates how Power BI can be leveraged to solve real-world inventory management challenges through analytics and business intelligence.
Sakthi Sivakumar
Inventory Management Professional transitioning into Data Analytics.
Power BI • DAX • Power Query • Excel • SQL • Inventory Analytics
Inventory Analyst | Supply Chain Analyst | Data Analyst | Business Intelligence
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