AI-Powered Product Recommendation System PRD for ShopEase

This Product Requirements Document (PRD) was created for ShopEase, a fast-growing e-commerce platform. The focus was to define the structure and key details for building an AI-powered product recommendation system that helps users discover relevant items faster and more easily.

The goal was to outline how ShopEase could use AI to improve product discovery, reduce bounce rates, and increase user engagement  by recommending the right products to the right users at the right time.

Lack of user data for new shoppers, making personalization harder

Performance issues if the AI slows down the page load time

User resistance to AI suggestions they don't find useful

Privacy concerns around using customer behaviour for recommendations

This PRD lays out clear, simple requirements for building a system that learns from browsing history, past purchases, and user feedback to deliver smart, timely suggestions. It includes feature scope, user stories, prioritization, success metrics, and rollout plans all tailored to support the product team.

Gives the development team a clear blueprint to build the feature

Helps designers and marketers align with user needs

Sets measurable goals for tracking performance

Reduces confusion and saves time across teams

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