상품 데이터 합치기 도구
AI가 여러 소스의 상품 데이터를 자동으로 통합합니다. 중복 제거와 필드 매핑으로 일관된 상품 데이터베이스를 구축합니다.
Data Merge
기능
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.
사용 방법
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.
실제 적용 사례
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)
자주 묻는 질문
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.