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Advanced AI-Driven Customer Segmentation System for Real-Time Personalization

coderio.com

Food & Beverage

Retail

B2B

E-commerce

Challenges in Dynamic Customer Segmentation

The client required an intelligent system to analyze complex behavioral patterns across diverse market segments, adapt to real-time data changes, and enable personalized marketing strategies to improve ROI and market competitiveness.

About the Client

A leading CocaCola bottler in Latin America focused on innovation, sustainability, and operational efficiency in beverage production, distribution, and sales.

Key Project Goals

Implement clustering algorithms for multidimensional behavioral analysis
Enable automatic adaptation to new data inputs
Create interactive visualizations for segment insights
Support personalized experiences across retail, B2B, and e-commerce channels

Core System Requirements

K-means and DBSCAN clustering models
Automated data adaptation engine
Interactive Power BI dashboards
User-specific classification for B2B/e-commerce
Purchase pattern segmentation for retail

Technology Stack

Python

AWS

Power BI

Machine Learning Clustering Models

System Integrations

CRM platforms
E-commerce systems
Sales analytics tools

Non-Functional Requirements

Scalable cloud architecture
Real-time processing performance
Data security compliance
High availability

Expected Business Outcomes

Enhanced marketing ROI through precise customer targeting, improved operational efficiency via automated segmentation, and strengthened market position through personalized customer experiences across multiple sales channels.