Inventory Report with Descriptive Analysis

I need my raw inventory data turned into a concise report that does more than list what’s on the shelf. The deliverable should be an Inventory report supported by descriptive statistics so I can spot slow-moving items, see overall stock health, and make data-backed purchasing decisions.

What I expect
• Clean and structure the source file I provide.
• Compute the descriptive stats that matter—totals, averages, highs, lows, standard deviations—broken down by SKU, supplier, or location, depending on how the data lands.
• Present the results in a clear report: readable tables plus simple visuals that highlight stock levels and movement patterns.

Format
Send me the working file (Excel, Google Sheets, or a Python notebook) and a share-ready PDF or slide deck summarising the findings. If you have a go-to template or dashboard that speeds things up, feel free to use it; just keep the layout tidy and formulas transparent.

Please add a short note showing the tools you’ll use and a quick example of a similar inventory analysis you’ve completed so I know we’re aligned.