Personalised Recommendation Engine for Online Retail

Description

An AI-powered recommendation engine designed to increase customer engagement and average order value in e-commerce platforms. The system analyses browsing behaviour, purchase history, and product attributes to deliver personalised product suggestions in real time. It supports multiple recommendation strategies including collaborative filtering, content-based filtering, and hybrid approaches. The engine integrates with existing product catalogues and can be deployed as an API or embedded widget.

Alterations

• Custom recommendation algorithms tuned to specific product categories
• A/B testing framework for recommendation strategy optimisation
• Integration with existing product information management systems
• Real-time personalisation based on session behaviour
• Email and push notification recommendation feeds
• Multi-tenant support for marketplace platforms
• Custom weighting for promoted or high-margin products
• Privacy-compliant data handling for GDPR and CCPA