Business Intelligence & Market Insights Platform
A GIS-Based SaaS platform unifying fragmented business registration data and consumer behavior silos to drive smarter site selection and targeted marketing campaigns.
Industry
Business Intelligence · Retail · Marketing Technology
Duration
28 months (Ongoing) · 6-10 engineers, data specialists, and product designers
The Challenge
Enterprises and retail chains often struggle with vast amounts of siloed customer data that lacks spatial context. Without the ability to visualize where customers are actually located relative to store locations, businesses face an inability to plan targeted marketing or optimize expansion strategies. This disconnect results in wasted ad spend and missed opportunities in high-potential geographic clusters.
The Solution
We engineered a comprehensive GIS-driven visualization platform that ingests CRM data to generate real-time insights. By utilizing AI-based customer profiling, the system identifies high-value retail clusters. Furthermore, it features integrated Meta and Google ad management, allowing marketers to instantly push geo-fenced campaigns to specific high-performing zones directly from the map interface.
Implementation Approach
Our systematic methodology for delivering world-class solutions
Data Integration & Normalization
Unified CRM, geo-location, and transaction data across 50+ retail chains
GIS Visualization Layer
Built interactive map interface with Mapbox for real-time cluster analysis
AI Customer Profiling
Implemented ML models for predictive customer segmentation
Ad Campaign Integration
Connected Meta and Google APIs for geo-fenced campaign deployment
Technical Stack
Tools & Languages
Frameworks
Backend Services
Infrastructure
Operational Impact
Measurable results demonstrating the tangible value delivered through this project
Reduced Analytics Reliance
Growth Prediction Accuracy
Optimized Marketing
Key Achievements
Unified data from 50+ retail locations into single GIS interface
Achieved 92% accuracy in growth prediction models
Reduced marketing spend waste by 60%
Enabled 10x faster site selection analysis
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