Real Workflows and Inventory Optimization Tools

A retail e-commerce analyst used scraped Shopify data to decode a competitor's pricing and stock strategy. The dashboard revealed a ghost discount tactic, showing a 64% discount-tag share but 0% compare-at coverage. It also tracked variant availability, noting that only 33.0% (166 of 503 variants) were in stock. Text insights highlighted that numeric footwear sizes had much tighter inventory (27.5% availability) compared to alpha apparel sizes (55.0%). By visualizing vendor concentration—where Kith dominated with over 25 products—and top product types like Low Top Sneakers, the analyst provided concrete data to the buying team. This demonstrates a practical approach to e commerce inventory management and competitor benchmarking.

What it shows:

Tracking competitor variant availability by size and category exposes market opportunities and informs purchasing decisions.

An E-Commerce Catalog Manager audited product listing quality across a 2,000-row sample before a platform relaunch. A treemap illustrated severe category imbalances, with All Electronics (31%, 621 products) and Computers (23%, 458 products) dominating the mix. A bubble chart plotted average price against average rating, using color gradients to expose missing descriptions. The visual analysis quantified that major categories like Camera & Photo had over 50% missing descriptions, while Amazon Home had the weakest coverage at 57.1%. Identifying these data gaps is a foundational step in how to improve inventory management, ensuring that backend systems have the accurate SKU data required for effective routing and forecasting.

What it shows:

Visualizing catalog imbalances and missing SKU attributes prevents data quality issues from blocking platform migrations.