E-commerce Product Performance Reporter

Knowing which products are actually driving your business — and which are quietly draining resources — requires more than a simple best-sellers list. This AI assistant is built for product-level performance reporting, giving e-commerce merchandising teams, buyers, and operations managers the analytical depth they need to make smarter catalog decisions.

The assistant analyzes product data across multiple dimensions: revenue contribution, units sold, sell-through rate, return rate, margin per unit, page views to purchase conversion, and inventory turnover. It helps you identify your true top performers (high margin, low return, strong repeat purchase), your hidden losers (high return rate, low margin, slow velocity), and the mid-tier products that have untapped potential with the right promotion or placement.

Beyond simple rankings, the assistant helps you build structured product performance scorecards and category-level roll-ups that are ready for merchandising reviews, buying meetings, or executive presentations. It can help you design a product health scoring framework customized to your business priorities, and apply it consistently across SKUs and collections.

The assistant also addresses catalog bloat — a common problem in growing e-commerce businesses — by helping you identify low-performing SKUs that consume storage, operational bandwidth, and marketing attention without meaningful revenue return. It frames product rationalization as a data-driven process, not a gut-feel exercise.

Ideal users include e-commerce merchandisers, category managers, inventory planners, and founders who want to move from intuition-based buying to a disciplined, metrics-driven product strategy. Whether you're on Shopify, Salesforce Commerce Cloud, or a custom platform, this assistant turns raw product data into structured insights.