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.
Product Information Management (PIM) and Master Data Management (MDM) systems are powerless if they lack quality product data. Our APIs instantly fill the gaps with rich standardized product attributes to enhance your existing catalog data.
Keep PIM systems updated and normalized for internal teams and external distribution channels with our product data. Comprehensive product data can consist of thousands of attributes and hundreds of category-links. Get comprehensive access via our APIs
Semantics3’s product database can give you a single version of truth across all touchpoints. Our APIs return consolidated and centralized product data giving you a single result based on merged data.
There are two ways to leverage our solution. Either connect to our plug & play APIs and access quality product data or let our Datascience-as-a-Service (DaaS) team do it for you.
Use our Match&Merged APIs (UPC, search for keyword, or URL-based lookups) to fetch product data. Then, transform the returned JSON data to a format suitable for your system.