Indix automates and standardises product information retrieved from a variety of sources using machine learning
Summary:
Indix uses machine learning techniques to sort through product data collected from non-standardised and disparate sources for inclusion in its product catalogue.
Problem:
According to the Indix blog: "Businesses want to know what products and services are available on the market, who else is selling those products, for how much, in which stores, with what success. They want to know what customers are saying about products and services. They would like to know how products and services are being promoted and when. Also news that could potentially affect the availability, price or popularity of products would be valuable in planning. Much of this information is public. But that public data is massive and chaotic." Indix compiles product data from the internet to create a comprehensive catalogue, or what it calls "the world’s first Product Information Marketplace".