# Retailer Category Manager — Sample Dataset

> **These are illustrative sample files, not measurements.**
> Every value below is generated, so that you can see the schema, the column names and the shape of
> a slice before you buy one. Names are placeholders and the numbers are not real. The live dataset
> is built from the price observations described at https://vettra.run/data/.


**Use Case:** Assortment optimization and demand forecasting

**What's included:**
- 30 days of daily demand (clicks, searches, purchases) by category
- Current assortment breadth (SKU counts, stock levels) by size
- Competitor assortment benchmarks
- Seasonal trend indicators

**Data volume:** ~1 KB

**Key insights available:**
- Top-performing categories and sizes
- Demand-to-assortment gaps
- Seasonal demand peaks
- Inventory optimization targets

**Next steps:**
- Identify underperforming SKUs to clear
- Add best-sellers to increase assortment
- Plan seasonal inventory

For more data: contact info@vettra.run
