Merchant Dedup and Mapping Agent

Agent|Built by :Crayon Data India Pvt Ltd

Turn Messy Transaction Merchants into Clean Canonical IDs and Offer Mappings - Deduplicate, normalize, and map merchant strings across transaction datasets automatically. Reduce manual merchant cleanup by 80% with consistent IDs ready for analytics, campaigns, and reporting.

Categories :

Data & Analytics

Tags :

ETLMerchant DeduplicationData CleaningBanking OperationsAI MatchingData Pipeline

Target Personas :

Data Engineers, Data Teams, Analytics Teams

Value Propositions:

Data Accelerator

Everything you need to clean, deduplicate, and map merchant transaction data into canonical IDs and structured offer mappings
Merchant String Normalization - Cleans and standardizes raw transaction merchant strings, removing noise characters, encoding artifacts, and formatting inconsistencies across all source datasets automatically
AI Based Merchant Clustering - Groups similar merchant name variations using ML-powered fuzzy matching and semantic similarity, identifying duplicates that exact-string or rule-based logic cannot reliably detect
Canonical Merchant Selection - Automatically selects the most representative merchant name from each cluster and assigns a stable canonical merchant ID for consistent downstream reference across systems
Merchant Offer Mapping - Generates structured mapping tables linking canonical merchants to offers, product categories, and campaign targets directly powering analytics pipelines and targeting workflows
Duplicate Resolution Engine - Identifies and resolves merchant duplicates across transaction history with full data lineage traceability back to original raw source strings for audit and debugging
ETL Ready Output Generation - Produces merchant ID tables and mapping exports in structured formats compatible with data warehouses, analytics platforms, and campaign targeting systems for immediate pipeline use

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