AI E-Commerce Sales Boost Platform

PHP, Website Design, Shopping Cart Integration, eCommerce, Machine Learning (ML), Data Analysis, Deep Learning, Recommendation System · My goal is to lift online revenue by building an e-commerce platform that serves each shopper a real-time, AI-driven stream of product suggestions. The entire architecture—from data ingestion to user-facing widgets—should be engineered around this single purpose: increasing sales through highly relevant recommendations.

Core functionality The heart of the build is a personalised recommendation engine. It should analyse browsing behaviour, purchase history, and contextual signals to deliver on-page and in-email product suggestions that feel hand-picked for every visitor. While dynamic pricing and automated marketing campaigns may follow later, phase one focuses exclusively on perfecting these recommendations.

Technical expectations • End-to-end platform or plug-in capable of integrating with common stacks (Shopify, WooCommerce, custom React/Node, etc.). • Scalable data pipeline—batch and real-time—to capture events, train models, and serve predictions with low latency. • Model layer leveraging proven libraries (TensorFlow, PyTorch, or similar) and techniques such as collaborative filtering and deep learning for cold-start mitigation. • Admin dashboard for A/B testing, rule ove