Unbxd Search for ecommerce sites

FOR IMMEDIATE RELEASE
Bangalore, Karnataka, India, Republic of (Free-Press-Release.com) June 4, 2011 --

The search box which is the search interface, “Unbxd Human Search”, as they call it, acts as a virtual sales person on e-commerce sites. The search offers auto-completion, Faceting, easy navigability to users who search for products on e-commerce sites. Other advanced options include the famous ‘did you mean feature?’ Automatic spell correction of user queries, suggestion of alternative words and meanings, etc. Simplistically, when users enter search queries, the search engine really tries to understand what the user is looking for, much like a salesperson in a store which gives back very relevant search results.
Unbxd offers web and search analytics for e-commerce sites as well. Their analytics inform the site owners about what kind of items are sold faster, what kind of products should be advertised, provides demo-graphical information about users and their purchase patters, etc. The value that search adds to any e-commerce site is immense. Their technology product that helps solves all search problems for e-commerce sites.

Unbxd is making search easy and ‘Google like’ for users who search on e-commerce site. India has been slow in adopting good User Interface and User Experience on websites, especially e-commerce sites. However, this presents a unique opportunity to Unbxd as e-commerce is growing at rates, never seen or heard before and within no time, Unbxd wants to play a major role in transforming e-commerce technology in India.
Unbxd is seen as a pioneer in developing this technology in India. Though there are global players doing something similar, Unbxd have clearly established a unique selling point for their product. It is scalable to upwards of billions of products with constant search result speeds. It is independent platform which is very important for considering how fragmented the e-commerce platforms market is.

eCommerce search     Faceted Search     product search     semantic search