The need for structured data extends to all kinds of search, be it standard free-text search or new-generation voice search. In ecommerce, that implies every laptop in your catalog needs to have its screen-size expressed in inches and every shirt needs the right color tag. Without relevant information it is difficult for consumers to find exactly what they need.
Our Feature Enhancement API fulfills this need using a combination of methodically curated taxonomies, artificial intelligence techniques and strategically inserted heuristics.
Key Standardization to maps all attribute names to our standardized taxonomy.
Named Entity Recognition to extract structured key-value pairs from unstructured fields such as product title and description.
Value Normalization to map attribute values of selective fields to comparable formats.
Access complete retailer product catalogs from a single source without having to manage multiple retailer feeds. You can lookup specific retailer SKUs or choose to get all SKU records from one particular retailer.
Use retailer SKUs (eg. ASINs) to retrieve up-to-date product data to build your inventory. Get product attributes like current price, historical prices, images, description and corresponding UPCs or GTINs
Retrieve up-to-date product data to build your inventory or get category-based data from all major retailers.
Fetch real-time price and availability data from retailers using UPC lookups or URL lookups. Or select the products and sellers you’re interested in and we’ll notify you whenever prices change.
Refresh product prices and availability status programmatically with APIs designed for ease of integration and data at scale.
Use the UPC API to lookup product based on SKUs or use the Sites API to fetch products from a specific retailer. With Raw data type, product fields will be standardized throughout a single site.
To get normalized data with products and prices matched across retailers, leverage our Match&Merged data type.