Fusionador de Datos de Productos
Fusiona datos de productos de múltiples fuentes en un catálogo limpio. Combina exportación de Shopify + CSV de proveedor + carpeta de imágenes en un conjunto de datos unificado.
Data Merge
Funcionalidades
Multi-Source Merging
Upload 2-5 different CSV/Excel files. AI matches products across sources by SKU, title, or other identifiers.
Intelligent SKU Matching
Even when SKU formats differ ("WH-001" vs "WH001" vs "wh_001"), AI fuzzy-matches products across sources.
Field Priority Rules
When sources conflict, AI uses your priority rules: "Take price from Source A, description from Source B, images from Source C."
Deduplication
Automatic duplicate detection and merging. No product appears twice in your unified catalog.
Cómo funciona
Upload Sources
Upload 2-5 CSV/Excel files from different sources.
Set Match Rules
Choose matching field (SKU, title, GTIN) and priority rules for conflicting data.
Merge & Review
AI merges into single catalog. Review matches, resolve conflicts, export.
Ejemplo
Data Merge
Input
Shopify CSV (500 products) + Supplier CSV (480 products) + Updated prices (500 products)
Output
Merge Report: Source A (Shopify): 500 products Source B (Supplier): 480 products — 460 matched, 20 new Source C (Prices): 500 products — all matched Merged Catalog: 520 unique products ✓ 460 products: data from all 3 sources ✓ 40 products: Shopify + prices only ✓ 20 products: new from supplier Conflicts resolved: 34 (using priority rules)
Preguntas frecuentes
Can it match products with different SKU formats?
Yes. AI fuzzy-matches SKUs, handling format variations like dashes, underscores, and case differences.
What happens when sources disagree?
You set priority rules per field. AI automatically applies them and flags any unresolvable conflicts for manual review.