Product Mapping
Product Mapping
We build product matching pipelines that identify identical items across disparate catalogs. Our product mapping solution handles SKU normalization, title similarity, attribute extraction, and visual matching to link products that retailers describe differently. Cross-platform price comparison and inventory tracking require reliable matching.
Technical Architecture
Our matching pipeline combines multiple signals. We extract structured attributes (brand, model, size, color, UPC/EAN) from product pages. For unstructured data, we use transformer-based semantic similarity to match products with different titles. Visual matching compares product images using CNN features when textual signals are ambiguous. We implement a hybrid scoring system that weights each signal—high-confidence matches auto-approve, borderline matches route to human review.
Data Quality & Validation
Product data varies wildly between sources. Our extraction handles inconsistent formats, missing fields, and creative descriptions. Data Normalization standardizes attributes—converting all sizes to consistent scales, normalizing brand name variations, standardizing color names. We implement Deduplication within source catalogs before cross-platform matching. Match quality metrics (precision, recall, F1) get calculated against validated test sets.
Compliance & Ethical Standards
We process only publicly available product data from retailer websites and price comparison platforms. No proprietary data is accessed without authorization. For any data containing personal information (seller reviews, Q&A sections), we implement automatic redaction. GDPR and DPDP Act 2023 compliance includes documented data handling for any accidentally captured personal data.