Map AI: The Semantic Translator
Intelligently suggest field mappings between source and target systems using semantic understanding, achieving 92% accuracy and reducing mapping time by 60%.
What does Map AI do?
Map AI uses natural language processing and semantic analysis to automatically suggest field mappings, recognizing that fields like "customer_id" and "cust_num" represent the same concept despite different naming conventions.
Key Capabilities
Semantic Understanding
Understands field meaning beyond names, recognizing synonyms and business concepts
Context-Aware Mapping
Considers data types, patterns, and relationships when suggesting mappings
Confidence Scoring
Provides confidence scores for each mapping suggestion, highlighting areas needing review
Complex Transformations
Suggests transformation logic for data type conversions and format changes
Learning from Feedback
Improves accuracy over time by learning from user corrections and validations
Multi-Source Support
Handles mappings across diverse source systems and target platforms
Real-World Example
Legacy CRM to Salesforce Migration
Challenge
Map 2,847 fields from a 20-year-old custom CRM to Salesforce standard and custom objects
Map AI Solution
- • Automatically suggested 2,618 mappings (92% of total)
- • Identified 147 complex transformations requiring business logic
- • Flagged 82 fields with low confidence for manual review
- • Completed initial mapping in 3 days vs. 6 weeks manually
Results
Benefits
60% Faster Mapping
Complete field mapping in days instead of weeks, dramatically accelerating migration timelines
92% Accuracy
Achieve high accuracy rates with intelligent suggestions that understand business context
Reduced Errors
Eliminate manual mapping mistakes that lead to data quality issues post-migration
Knowledge Capture
Document mapping logic and transformations for future reference and compliance
Experience Map AI in Action
See how intelligent field mapping can transform your migration project