a6e5b969-be6e-4756-ae53-47d3cb899ca4.png

bc4266be-70d8-459f-983e-575efa9e3918.xaml

The Jaro String Matching Algorithm is a powerful tool for evaluating the similarity between two strings. It is widely used in scenarios where data may be inconsistent, contain typos, or vary slightly in format. This UiPath workflow provides an automated implementation of the algorithm, enabling users to streamline tasks involving string comparison and similarity measurement.

**Common Use Cases**

1. **Data Deduplication:**
    - Identify and merge duplicate records in customer databases.
    - Example: Flagging "John Doe" and "Jon Doe" as potential duplicates.
2. **Customer Support:**
    - Match user queries to FAQ responses for better chatbot functionality.
    - Example: Matching “reset my account password” with “How to reset a password?”.
3. **Record Linkage:**
    - Consolidate information from multiple data sources with slight inconsistencies.
    - Example: Linking "Mary Johnson" and "M. Johnson" as the same individual.
4. **Fraud Detection:**
    - Detect suspiciously similar entries in customer applications.
    - Example: Identifying "Jane Smith" and "Jane Smithe" as potentially fraudulent.
5. **Invoice Matching:**
    - Match invoices and purchase orders with minor discrepancies.
    - Example: Matching "Widget-123 Model" to "Widget Model 123".
6. **Data Cleaning:**
    - Standardize and correct inconsistent names or terms.
    - Example: Aligning "Catherine" and "Katherine" to a common format.
7. **Recruitment and Resume Matching:**
    - Match candidate profiles with job descriptions for automated shortlisting.
8. **Plagiarism Detection:**
    - Identify similarities between text documents for originality checks.

UiPath workflow for Jaro String Matching calculates similarity between strings, aiding in deduplication, record linkage, fuzzy matching, and automation. Scalable, reusable, and ideal for data accuracy

Jaro - String Matching Algorithm