fuzzy-matching

What problem does it solve?

This Skill solves the challenge of accurately matching and reconciling entities (like inventory items or products) that have variations in their names, formats, or details, preventing duplicates and ensuring data consistency.

Core Features & Use Cases

• Multi-stage Fuzzy Matching: Employs a three-stage pipeline for efficient and accurate matching: PostgreSQL trigram pre-filtering, salient overlap checks, and multi-factor similarity scoring.
• Entity Reconciliation: Ideal for matching vendor SKUs to inventory items, deduplicating products across different sources, or reconciling entities with inconsistent naming conventions.
• Use Case: Automatically match incoming vendor SKUs like "BNLS CHKN BRST 10LB" to your existing inventory items, even if your internal names are slightly different, like "Boneless Chicken Breast - 10 lb Bag".

Quick Start

Use the fuzzy-matching skill to find similar items for 'BNLS CHKN BRST 10LB' in the 'poultry' category for user 'user_123'.