DataMatch
Intelligent Data Normalization & Matching
Transform messy, unstructured product data into clean, standardized datasets using advanced semantic AI. Built for operations teams who need reliable data normalization at scale.
The Problem
Critical business data rarely arrives structured. Inconsistent titles, incomplete descriptions, and supplier-specific language create costly friction.
Exact-Match Systems Fail
Slight variations in naming, spelling, or format cause complete misses in traditional matching systems.
Rule-Based Logic Breaks at Scale
Manual rules become unmaintainable as data sources and edge cases multiply exponentially.
Analytics Become Unreliable
Without consistent data normalization, reporting and business intelligence lose accuracy and trust.
Without a semantic layer, comparing data becomes manual, slow, and expensive.
The DataMatch Approach
DataMatch acts as the semantic bridge between text and structure.
Unstructured Text
Descriptions, catalogs, invoices
DataMatch
Semantic AI Engine
Structured Data
SKUs, codes, taxonomies
Index Master Data
Creates vector embeddings from your structured datasets
Understand Semantically
Processes unstructured text with deep semantic understanding
Match with Confidence
Returns best candidates with context and confidence scores
What You Get
A complete toolkit for intelligent data matching and normalization.
Semantic Matching
Finds equivalence even when wording, format, or terminology differs completely.
Data Normalization
Standardizes entities, names, units, and attributes across all your data sources.
Confidence Scoring
Every match includes a score to auto-accept, flag for review, or reject automatically.
Explainability & Control
Full visibility into matching signals, alternative candidates, and decision logic.
Analytics
Match coverage, score distribution, and data quality insights at your fingertips.
Key Use Cases
DataMatch powers critical data workflows across industries.
Customs & HS Code Classification
Match free-text descriptions against structured HS/NCM tables with confidence scoring and review control. Automate customs classification at scale.
Supplier & Catalog Normalization
Unify heterogeneous supplier catalogs against a single master dataset, detecting duplicates, variants, and inconsistencies automatically.
Category & Attribute Mapping
Automatically assign categories and attributes from text for eCommerce and PIM systems. Streamline product data management.
Also works for:
API & Services
Choose the integration model that fits your needs.
API-First
Use DataMatch in batch or real time directly through our API.
// Match product
- Index your datasets
- Run semantic matching
- Retrieve analytics
- Incorporate human feedback
Professional Services
For complex environments, we design and operate the full workflow.
- Master data definition
- Decision thresholds
- Initial dataset curation
- Quality and coverage metrics
Built for Control & Scale
Dataset-level isolation
Secure API access
Full decision traceability
Simple integration
Turn Unstructured Data into Reliable Decisions
DataMatch connects human language with structured data using applied AI—no black boxes, no hype.