Product & Category Performance Analysis

I have a full year of inventory records ready for deep-dive analysis. Using this dataset I want to pinpoint which products and categories truly resonate with customers so I can align future buying decisions with proven preferences.

All figures cover the last twelve months and include stock levels, turnover rates, and historic re-order points. If your preferred workflow benefits from layering in additional signals—such as sales transactions or customer review data—I’m open to discussing how we might fold those in, but the core work must stand on the inventory numbers alone.

What I expect at the end:
• A concise report highlighting the products and categories that outperformed the rest, with clear metrics that explain why.
• Visualisations (Excel, Power BI, Tableau, or similar) that let me drill down quickly by SKU, category, and period within the year.
• Action-oriented recommendations that translate the findings into stocking and merchandising moves I can act on immediately.

If you are experienced in retail or e-commerce analytics and can turn raw inventory logs into clear, customer-centric insights, I’m eager to see how you would tackle this project.