Building AI-Powered Product Recommendations for a WordPress E-Commerce Site

One of my clients sells building materials — doors, tiles, flooring. Their problem: customers didn't know what they needed. Product pages got traffic but conversion was low. I built a 5-question needs assessment that feeds into an AI recommendation engine. Here's how. The Architecture User answers 5 questions → Form submits to Make.com webhook → Make.com calls ChatGPT API with answers + product catalog → AI generates 3 personalized recommendations → Automated email sent to user with product picks → Lead captured in CRM All running on WordPress with Elementor for the frontend and Make.com for the backend logic. The Implementation 1. The Quiz (Frontend) Built with a custom HTML/JS widget in Elementor. No plugin bloat — just a clean multi-step form that posts to a Make.com webhook. 2. The AI Engine (Backend) Make.com receives the form data, formats a prompt with the product catalog context, and sends it to ChatGPT. The response comes back as structured JSON with 3 product recommendations