AI Customer Journey Analytics Software is a full-stack AI application that helps businesses understand customer behavior, predict churn, and optimize engagement through advanced machine learning. Built with FastAPI and React, this deploy-ready platform processes customer interaction data across multiple touchpoints to identify patterns, pain points, and revenue opportunities.
The application includes six trained machine learning models: Journey Embedder for sequence analysis, XGBoost-powered Churn Predictor, Behavior Forecaster for next-action predictions, Customer Segmenter with K-means clustering, rule-based Sentiment Analyzer, and Isolation Forest Anomaly Detector. Each model works together to deliver comprehensive customer intelligence through an intuitive web interface featuring real-time dashboards, interactive journey timelines, segment analysis, predictive insights, and bulk data upload capabilities.
Designed for developers, data teams, and product builders creating customer analytics solutions, this application provides everything needed to launch a working analytics platform: complete source code, automated setup scripts, synthetic training data generation, comprehensive API documentation, and detailed user guides. The frontend uses React 18 with TailwindCSS and Recharts for responsive visualizations, while the backend leverages FastAPI with SQLAlchemy ORM for efficient data processing.
Key capabilities include journey stage classification, health scoring, pain point identification, opportunity detection, customer segmentation into five distinct groups, churn risk prediction with confidence intervals, lifetime value forecasting, and next-action recommendations. The platform accepts CSV and JSON uploads with configurable data fields and processes events across website, email, mobile app, and support touchpoints. All analysis results are accessible through RESTful APIs with OpenAPI documentation at /api/docs.
Technical requirements: Python 3.8 or higher, Node.js 16 or higher, basic command-line familiarity. The application uses synthetic data generation to improve model coverage and protect user privacy during initial training. Buyers receive the complete codebase including backend services, frontend components, ML model artifacts, data schemas, preprocessing utilities, and setup automation.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required.
NO REFUNDS: Due to the digital nature, all sales are final.
LICENSE TERMS: Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.