product-enrich

# /product-enrich — Product Enrichment Takes a product list with basic info (name + brand) and fills in missing metadata — category, subcategory, primary color, material, and style tags — using AI. Works on CSV files, Google Sheets, or pasted data. ## When to Use - After a bulk import where products are missing categories or tags - When a designer clips products quickly without filling in details - To standardize metadata across products from different sources - Before generating an FF&E schedule (enriched data makes better schedules) ## Step 1: Accept Input Accept product data in any format: **Google Sheet ID:** ``` /product-enrich 1FMScYW9guezOWc_m4ClTQxxFIpS6TNRr373R-MJGzgE ``` **CSV file:** ``` /product-enrich ~/Documents/project/products.csv ``` **Pasted data:** ``` /product-enrich Eames Lounge Chair, Herman Miller Saarinen Tulip Table, Knoll PH 5 Pendant, Louis Poulsen Togo Sofa, Ligne Roset ``` ## Step 2: Analyze Each Product For each product, infer the following fields: ### Category Map to the canonical vocabulary (22 terms) defined in `../../schema/product-schema.md`. ### Subcategory More specific classification within the category: - Chair → Task Chair, Lounge Chair, Dining Chair, Side Chair, Stool, Bench - Table → Dining Table, Coffee Table, Side Table, Console Table, Conference Table - Light → Pendant, Floor Lamp, Table Lamp, Wall Sconce, Ceiling, Task Light, Chandelier - Sofa → Sofa, Sectional, Loveseat, Daybed, Settee - Storage → Credenza, Bookcase, ...