Data Warehousing & Analytics Case Study
Building a Central Logistics Data Lake for Operational Visibility
The Background
The logistics operator had data scattered across:
- GPS tracking
- Fuel cards
- Delivery management apps
- Excel rate sheets
- Driver attendance
- Vehicle maintenance logs
The Problem
No single view of fleet performance
Fuel leakages went unnoticed
Hard to track customer profitability
No historical insight into lane performance
The Trigger
A client requested a 6-month delivery performance audit.
It took the company 12 hours of manual effort just to compile basic numbers.
They needed a logistics data warehouse.
Cor Advance Data Solution
We built a unified Logistics Data Lake integrating 8+ systems with automated pipelines.
Lane profitability analysis
Powered by EMR data, past appointment patterns, demographics, weather, and seasonal changes.
Fleet efficiency reports
Automatically predicts no-show probability for each appointment and forecasts clinic footfall per hour.
Driver performance analytics
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Predictive maintenance insights
Powered by EMR data, past appointment patterns, demographics, weather, and seasonal changes.
Customer-wise delivery SLAs
Automatically predicts no-show probability for each appointment and forecasts clinic footfall per hour.
Fuel deviation alerts
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Implementation Journey
Weeks 1-2
Discovery & Requirement Analysis
Reporting time dropped from 12 hours → 5 minutes
Week 4
Blockchain Strategy & Planning
Complete visibility into fleet operations
Week 6
Smart Contract & DApp Development
Fuel deviation detection improved savings
Week 8
Smart Contract & DApp Development
Customer profitability became transparent
Transformation & Results
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