The High Friction of Manual Catalog Entry
Manually logging product attributes, packaging sizes, units of measure, and variant options for hundreds of incoming items creates severe cataloging bottlenecks. Human input errors lead to duplicate SKUs, wrong stock unit mapping, and inconsistent e-commerce or B2B store listings.
Automated Specs Extraction via Sheera Vision
Sheera AI incorporates advanced multimodal vision models that analyze raw product and package photos. By scanning packaging labels, text markings, and visual geometry, Sheera AI automatically extracts specifications, variant attributes (color, size, weight), and creates fully populated product cards in Rabia ERP within seconds.
Step-by-Step: Analyzing Product Photos
Use AI vision models to populate product variants and packaging specs in 2:45 minutes:
- Open Sheera Vision Studio: Go to Sheera AI Engine > 'Product Image Analysis' (تحليل صور المنتجات).
- Upload Image or Batch Files: Drop photos of the outer box, product front/back labels, or multi-angle packaging shots.
- Verify & Save Extracted Attributes: Review Sheera AI's automatically recognized SKU name, weight, barcode, and packaging units, then confirm catalog sync.
Automating Multi-SKU Variants & Compliance
When introducing items with multiple packaging sizes (e.g., single unit, carton, bulk pallet), Sheera AI calculates conversion multipliers automatically based on detected packaging descriptions. Furthermore, it verifies label compliance with local commerce standards, flagging missing expiration dates or unverified barcode formats.