Creating A 360°
Data Warehousing & Analytics Case Study — Creating A 360° Retail Analytics Platform
The Background
The same retail chain had data isolated across:
- POS systems
- Supplier records
- CRM
- Promotion tools
- Inventory spreadsheets
- Loyalty platform
The Problem
Reporting was manual and inconsistent
No unified SKU performance view
No insight into customer lifetime value
Supplier negotiation was blind
Marketing decisions were not data-backed
The Turning Point
The owner saw 7 cartons of expired FMCG products discarded in a month.
It was the wake-up call to modernize with AI-driven forecasting.
Cor Advance Data Solution
We built a robust retail analytics data warehouse connecting all systems into one platform.
Category & brand performance
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Store vs store comparison
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Customer segmentation
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Supplier margin visibility
- Web analytics
- Email engagement
- Trial activity
- Company size & industry fit
- Behavioral patterns of past converters
Promotion ROI analytics
- Usage depth
- Feature adoption
- Login frequency
- Support queries
- Account configuration behavior
Inventory aging + dead stock
Suggests optimal overbooking, sends automated WhatsApp/SMS reminders, and alerts staff of high-risk patients.
Implementation Journey
Weeks 1-2
Discovery & Requirement Analysis
Inventory decision-making became data-driven
Week 4
Blockchain Strategy & Planning
Faster reporting across branches
Week 6
Smart Contract & DApp Development
Improved supplier negotiation power
Week 8
Smart Contract & DApp Development
Marketing efficiency increased
Transformation & Results
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