thatomaelane/African-Customer-Intelligence-Platform

AI-powered customer intelligence platform developed during the DataVerseAfrica Internship. Combines machine learning, Streamlit, Power BI, and APIs to transform customer data into actionable insights, predictive analytics, interactive dashboards, and automated business recommendations across banking, retail, telecom, and other industries. # African Customer Intelligence Platform > An AI-powered customer analytics platform that transforms raw customer data into actionable business insights through machine learning, interactive dashboards, and automated analytics. --- # Project Team ## Project Leader **Thato Maelane** ## Assistant Leader **Amarachi Florence** ## Team Members - Philip Odiachi - Mavis **Developed during the DataVerseAfrica Internship – Cohort 3** --- # Project Overview The African Customer Intelligence Platform is an AI-powered business analytics solution designed to help organizations quickly uncover valuable insights from customer data. Instead of spending days creating reports or manually analyzing spreadsheets, users can upload customer datasets and instantly receive interactive dashboards, predictive analytics, customer segmentation, sentiment analysis, geographic insights, and strategic business recommendations. Although initially developed using banking customer data, the platform is flexible enough to support industries such as: - Banking - FinTech - Telecommunications - Retail - Insurance - Healthcare - Customer Service - E-commerce --- # Project Objectives - Transform raw customer data into actionable business intelligence. - Identify customer behavior and trends. - Detect high-risk customer segments. - Measure customer sentiment. - Analyze digital adoption. - Discover high-value customer locations. - Support strategic business decision-making. - Deliver insights through an easy-to-use web application. --- # Key Features ### Interactive Dashboard - Customer overview - KPI summaries - Business performance indicators - Interactive charts --- ### AI-Powered Analytics - Customer segmentation - Risk analysis - Customer profiling - Trend detection - Predictive analytics --- ### Customer Sentiment Analysis Analyze customer feedback to identify: - Positive sentiment - Neutral sentiment - Negative sentiment Helping organizations understand customer sat …