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Top-level categories and subcategories make clothing and shoes easier to scan than a single, dense table.
Case study / 01
Inventory Management
Turning a moving personal database into a searchable, visual system.
RoleProduct Designer & BuilderDuration5 daysToolsFlask · Notion API · CSV · Gemini
I identified a recurring inventory-management problem, then independently designed, built, and iterated a working website in five days. The product turns CSV and Notion data into a clearer workflow for tracking items while moving between locations and selling them.
A raw database could hold the information, but it could not make it easy to act on.
I needed a practical way to find clothing and shoes, see where an item was stored, and keep a clearer record of what was available or being sold. I built the complete product independently: two days for the first version, followed by three days refining tabs, subcategories, and the details I needed day to day.
Starting point
A detailed database, but not an everyday interface.
The original source was a structured inventory database with categories, subcategories, quantities, brands, locations, and measurements. It held the right information, but made browsing and acting on it slow.
Filter the working data
Search and location filters help retrieve an item by name, brand, or where it is currently stored.
Keep the source flexible
The interface accepts a CSV while also supporting a live Notion database, so the source data stays maintainable.
Delivered interface
A database turned into an everyday operating system.
The final website gives me a visual view of inventory records, category tabs, location filters, and a random outfit selector without requiring a new database workflow.
A shipped personal tool that makes it easier to keep track of stock, storage, and sale items from a structured CSV database.