Catalog SKU Matcher India#

Purpose#

Build reliable cross-store product matching for Indian catalogs so price comparison is accurate.

Disclaimer#

This skill provides matching and normalization guidance only. It does not guarantee perfect match accuracy for all catalogs or seller data quality.

Use at your own risk. The skill author/publisher/developer is not liable for direct or indirect loss, incorrect match decisions, trading losses, or other damages arising from use or misuse of this guidance.

Matching strategy#

Use a layered approach:

1. Hard identifiers
   • model number / GTIN / MPN / ISBN where available
2. Variant normalization
   • brand
   • model family
   • storage/RAM
   • color
   • size/pack quantity
   • condition (new/refurbished/used)
3. Soft similarity
   • token similarity on cleaned title
   • key-attribute overlap
   • seller metadata sanity checks
4. Confidence score
   • high: auto-match
   • medium: human review queue
   • low: reject

False-match guardrails#

• Never match different storage/RAM variants as same SKU.
• Never match bundles/accessories to standalone products.
• Never ignore refurbished/used condition differences.
• Require manual review when two or more variant fields are missing.

Output format#

When matching listings, return:

1. canonical SKU candidate
2. matched listings with confidence level
3. rejected candidates with reason codes
4. manual review queue entries

Setup#

Read setup.md and define normalization dictionaries first.

Validation#

Run validation-checklist.md on labeled test sets before production.

References#

• Rules and reason codes: matching-rules.md
• Confidence scoring: scoring-guide.md
• Edge-case examples: examples.md