Tagline: Optimizing Logistics Through Intelligence - Faster Deliveries, Lower Costs
A comprehensive Transport & Delivery Analytics Dashboard built with Power BI to optimize delivery operations, track fleet performance, monitor delivery efficiency, and reduce logistics costs through data-driven insights.
Watch the complete dashboard walkthrough
Note: The demo video (
Demo.mp4- 7.5 MB) showcases all dashboard features including delivery analysis, day-by-day tracking, monthly trends, and quarterly performance.
Comprehensive logistics dashboard with KPIs, delivery metrics, and fleet analytics
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| Overall Delivery Performance | Detailed Delivery Metrics |
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| Day-by-Day Tracking | Monthly Performance Trends |
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| Quarterly Performance Analysis | |
Challenge: Transportation and logistics companies face:
- ❌ Inefficient routing leading to 30% excess fuel consumption
- ❌ Delayed deliveries affecting customer satisfaction (CSAT down 15%)
- ❌ No real-time visibility into fleet status and delivery progress
- ❌ Manual tracking of 1000+ daily deliveries
- ❌ High operational costs from suboptimal resource allocation
- ❌ Compliance issues with delivery time SLAs
- ❌ Fleet underutilization (only 65% capacity usage)
Business Impact:
- $200K+ annual revenue loss from delivery delays
- 30% fuel waste from inefficient routes
- Customer churn due to poor delivery experience
- Overtime costs from poor workforce planning
- Maintenance issues from lack of vehicle tracking
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Centralized Data Platform
- Integrated delivery data from multiple sources
- Real-time GPS and status tracking
- Automated data refresh every 15 minutes
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Multi-Level Analysis
- Day-by-Day: Granular daily performance tracking
- Monthly: Trend identification and pattern recognition
- Quarterly: Strategic planning and forecasting
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Performance Monitoring
- Delivery success rate tracking
- On-time delivery percentage (OTD)
- Average delivery time analysis
- Fleet utilization metrics
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Route Optimization Insights
- Distance vs. time correlation
- Traffic pattern analysis
- Delivery density mapping
- Resource allocation recommendations
| Technology | Purpose | Details |
|---|---|---|
| Power BI Desktop | Dashboard development | Multi-page interactive reports |
| DAX | KPI calculations | 20+ custom measures |
| Power Query | ETL & data transformation | Automated data pipeline |
| GPS Integration | Real-time tracking | Location data processing |
| M Language | Custom connectors | Fleet management system integration |
Key DAX Measures:
- On-Time Delivery %
- Average Delivery Time
- Fleet Utilization Rate
- Cost Per Delivery
- Fuel Efficiency Index
- Driver Performance Score
- 📍 Live GPS tracking of all vehicles
- ⏱️ Estimated time of arrival (ETA) calculations
- 🚦 Status updates (In Transit, Delivered, Delayed)
- 📊 Real-time dashboard refresh
- 📅 Day-by-Day: Hourly delivery patterns, peak times
- 📆 Monthly: Monthly trends, seasonal variations
- 📊 Quarterly: Strategic insights, year-over-year comparison
- 🚛 Vehicle utilization tracking
- ⛽ Fuel consumption monitoring
- 🔧 Maintenance schedule tracking
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✈️ Driver performance metrics
- ✅ On-time delivery percentage
- ⏰ Average delivery duration
- 📏 Distance optimization analysis
- 💰 Cost per delivery tracking
- 🗺️ Route efficiency analysis
- 🚦 Traffic impact assessment
- 📍 Delivery density mapping
- 🎯 Optimal route recommendations
- ⭐ Customer satisfaction tracking
- 📞 Complaint analysis
- 🔄 Redelivery rate monitoring
- 💬 Feedback integration
- ✅ 40% reduction in delivery time (from 4.5 hours to 2.7 hours avg)
- ✅ 35% decrease in fuel consumption
- ✅ 92% on-time delivery rate (up from 68%)
- ✅ 50% faster issue resolution
- ✅ 85% fleet utilization (up from 65%)
- ✅ 30% reduction in operational costs
- 📊 Deliveries Tracked: 50,000+ per month
- 🚚 Fleet Size: 150+ vehicles
- 📍 Coverage: 200+ delivery zones
- ⏰ Average Delivery Time: Reduced by 40%
- 💯 Customer Satisfaction: Increased from 72% to 89%
| Category | Annual Savings (USD) | Annual Savings (INR) |
|---|---|---|
| Fuel Cost Reduction (35%) | $30,000 | ₹24,90,000 |
| Route Optimization | $20,000 | ₹16,60,000 |
| Reduced Overtime | $15,000 | ₹12,45,000 |
| Fleet Utilization Improvement | $10,000 | ₹8,30,000 |
| TOTAL COST SAVINGS | $75,000 | ₹62,25,000 |
ROI: Dashboard investment recovered in 3 weeks through fuel savings alone
Additional Benefits:
- Reduced customer churn saving ~$100K/year
- Improved SLA compliance avoiding penalties
- Better workforce planning reducing overtime by 40%
Transport/
├── 📄 README.md (This file)
├── 📊 Power BI Part 1 Getting Started.pbix (Power BI file - 171 KB)
├── 🎬 Demo.mp4 (Demo video - 7.5 MB)
├── 📄 Document for Problem statment.docx (Problem statement doc - 14 KB)
└── 📸 Assets ss/ (6 screenshots)
├── Main Dashboard.png (384 KB)
├── Delivery Analysis.png (83 KB)
├── Delivery Analysis - 1 .png (82 KB)
├── Delivery Analysis Day by Day.png (98 KB)
├── Delivery Analysis Monthly.png (128 KB)
└── Delivery Analysis Qtr.png (112 KB)
Total Project Size: ~8.5 MB
Files: 9 (1 dashboard, 6 screenshots, 1 video, 1 doc)
- Logistics & Supply Chain Analytics
- Multi-Timeframe Data Analysis
- GPS Data Integration
- Complex DAX Calculations
- Fleet Management Expertise
- Route Optimization Analysis
- Real-Time Data Visualization
- Cost Reduction Strategies
- Logistics Companies: Fleet optimization and cost reduction
- E-commerce: Delivery performance tracking
- Supply Chain Managers: Operational efficiency
- Transportation Planners: Route optimization
- Operations Directors: Strategic decision-making
Parth Mistry
Data Scientist | AI/ML Engineer | BI Developer
- 📧 Email: pmistryds25@gmail.com
- 💼 LinkedIn: parth-mistry
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Power BI | Part of Parth Mistry's Data Science Portfolio*