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Development of Cloud-Based Retail Analytics and Targeted Advertising System

firstlinesoftware.com

Business services

Retail

Challenges in Retail Customer Behavior Analysis and Engagement

Retailers struggle to effectively track and analyze shopper behavior, leading to missed opportunities for optimizing store operations, marketing strategies, and customer engagement. Existing solutions lack comprehensive data collection and real-time analytics capabilities.

About the Client

Consulting company specializing in business intelligence systems for retailers, offering data-driven decision support solutions

Objectives for Implementing Retail Analytics Solution

Develop a cloud-based system for collecting and analyzing shopper behavior data via WiFi sensors
Generate multidimensional reports for actionable insights into customer behavior
Implement targeted advertising features to enhance customer engagement through geofencing
Ensure scalability and real-time data processing capabilities for enterprise retail environments

Core System Functionalities and Features

WiFi sensor network for anonymous device tracking
Real-time shopper behavior analytics engine
Multidimensional reporting dashboard (visit duration, capture rate, loyalty metrics)
Geofencing-based SMS ad delivery for loyalty customers
Interactive store heatmap visualization
Data storage and processing pipeline
Web application for retail manager access

Technology Stack Requirements

Linux/OpenWRT

ASP.NET MVC/ASP.NET Web API

Highcharts/d3.js

MSSQL/ADO.NET Entity Framework

PHP/Knockout

PostgreSQL

System Integration Needs

Retail point-of-sale (POS) systems
Customer relationship management (CRM) platforms
Third-party analytics tools
Mobile network geolocation services

Non-Functional Requirements

High scalability for concurrent sensor data processing
Real-time data analysis capabilities
GDPR-compliant data anonymization
99.9% system uptime SLA
Role-based access control for sensitive data

Expected Business Impact of Retail Analytics Implementation

Enable data-driven decisions to improve customer retention rates by 20-30%, increase sales through targeted promotions, optimize store layouts using heatmap data, and reduce bounce rates by 15-25% through behavioral insights. Provide retailers with measurable ROI on marketing spend and operational efficiency improvements.