MBA Mini Project-IFree
Quick Shield - A Smart Security System
A proactive laptop security system that monitors suspicious activities and automatically protects the system from potential cyber threats.
PythonJavaC++
MBA Mini Project-IFree
Customer Behaviour-Based Dynamic Pricing
An AI-powered dynamic pricing engine that analyses customer behaviour and suggests personalised product prices in real time.
JavaScriptPythonMachine LearningXGBoostRandom ForestReinforcement LearningApache KafkaCustomer Data PlatformJavaScript SDKSession AnalyticsREST APIShopify APIWooCommerce APIMagentoCloud Infrastructure
Project Overview
Customer Behaviour-Based Dynamic Pricing (CBDP) is an AI-powered pricing engine designed for e-commerce platforms, D2C brands, and online retailers. The system analyses 30+ customer behavioural signals, including browsing patterns, page visits, cart abandonment history, purchase frequency, platform loyalty, time-of-day usage, and device type. Using machine learning classification and reinforcement learning, it identifies customer segments such as High Intent, Price Sensitive, Loyal, and New Visitor. Based on these behavioural patterns, the pricing engine calculates personalised product prices within business-defined minimum and maximum price boundaries. It also supports behaviour-triggered discounts, loyalty-based pricing, competitor price monitoring, and continuous model improvement through purchase and abandonment feedback.
Features
- Real-time customer behaviour tracking
- Analysis of 30+ customer behavioural signals
- Product page visit and browsing history tracking
- Customer session and time-spent analytics
- Cart addition and abandonment tracking
- Purchase frequency and transaction history analysis
- Device type and time-of-day behaviour analysis
- AI-based customer segmentation
- High Intent customer identification
- Price Sensitive customer identification
- Loyal customer identification
- New Visitor identification
- Reinforcement learning-based pricing engine
- Personalised product pricing in real time
- Business-defined minimum and maximum price boundaries
- Behaviour-triggered discount recommendations
- Automatic cart abandonment discount offers
- Loyalty-based personalised pricing
- Peak-demand and off-peak pricing support
- Real-time competitor price monitoring
- Automatic competitor pricing response
- Shopify integration
- WooCommerce integration
- Magento integration
- REST API-based e-commerce integration
- Purchase and cart abandonment feedback loop
- Continuous machine learning model improvement
- Revenue uplift and conversion tracking
Project Information
- Type
- mini
- Difficulty
- intermediate
- Category
- MBA Mini Project-I
Available Files
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