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.
Fetch and analyze product and pricing data by brand for trend predictions, price movement analysis and industry reports designed exclusively for investment professionals. Discover price history, reviews and ratings for millions of products.
Accessing aggregate product data helps you anticipate company and industry performance. Our product and pricing data is an essential input for financial analysts, hedge fund managers, and investment funds whose decisions cover a wide range of retail sectors.
Use our Match&Merged data APIs to analyze brand sales channel coverage and performance, or work with our Datascience-as-a-Service (DaaS) team to create custom data reports based on your investment research hypotheses. Read our report on measuring FMCG brand performance.
Book a call with our data consultants to discuss your current data needs and hypotheses. Our deployment strategists will help architect a mix of APIs to help you pull the data you need for your CPG and FMCG trend reports.
Then, get trial access to our APIs and dashboards to test out our data and validate your investment theories. If you don’t want to or can’t do it yourself, let our DaaS service do it for you.