Product Catalog Matching.
Bridge Taxonomy Gaps with 99.8% Match Accuracy.
Enhance Tech Solutions (ETS) solves the multi-channel catalog matching challenge. We combine deep image perceptual hashing and NLP tokenization with expert human QA to map identical products across competing marketplaces with zero false positives.
Solving the Hardest Catalog Alignment Challenges
Disparate barcodes, varied pack sizes, and incomplete product titles make purely automated matching prone to dangerous pricing errors. Our hybrid framework ensures complete integrity.
Cross-Marketplace SKU Matching
Resolve identical product listings across Amazon, Walmart, Flipkart, and quick-commerce dark stores, even when UPCs, titles, and variant codes are obscured.
Taxonomy & Category Harmonization
Align chaotic seller category trees and multi-level taxonomies into your standardized master product catalog hierarchy without manual re-tagging.
Hybrid Image & NLP Vector Matching
Our machine learning pipelines use perceptual image hashing and deep title tokenization to propose high-confidence candidate matches.
Human-in-the-Loop Edge Review
Low-confidence match candidates and complex product bundles are inspected and verified by domain-trained catalog specialists.
Never Compare Apples to Oranges in Competitor Intelligence
A competitor listing a 2-pack bundle under a standalone title will ruin your automated repricer if matched incorrectly. ETS extracts unit counts, sizes, and variant identifiers to guarantee exact 1:1 equivalency.
Pack & Weight Standardization: Automatically detects multipacks, grammage deltas, and bundle premiums to calculate true normalized per-unit pricing.
Immutable Mapping Keys: Generates unified canonical IDs that stay consistent across daily scrape cycles regardless of seller title edits.
Four Stages of Catalog Alignment
How we build and maintain your multi-channel mapping graphs.
Catalog Ingestion & Feature Extraction
Your master product catalog and scraped target marketplace listings are vectorized for title tokens, brands, pack sizes, and visual features.
Automated Vector & Fuzzy Similarity Scoring
Our matching engine computes cosine similarity, Levenshtein distances, and perceptual image hashes to score potential product pairings.
Specialist Validation & Manual Mapping
Catalog analysts review ambiguous matches, resolve multipacks versus standalone units, and assign definitive canonical links.
Mapped Graph Export & Live API Feed
Pristine SKU mapping graphs are exported via JSON/CSV or connected directly to your price monitoring and repricing engines.
Map Your Competitor Catalogs with Zero Guesswork
Send us a list of 25 hero SKUs and competitor marketplace links. Our team will generate an automated match report backed by human verification within 24 hours.