Posted on May 11, 2015
Combining analytics with machine-learning algorithms is the next step to optimizing every interaction with a perspective customer, ensuring that adaptive dynamic content is timely, personalized and contextually relevant. Companies can use Natural Language Processing to understand sources and extract new information, and use machine learning and statistics to find patterns and derive new insights. [read more]
Posted on March 11, 2015
Our new patent details the process of extracting and transforming information from two or more documents into original human-readable text using NLG. This allows computers to learn about new facts and relationships that are only apparent by "connecting the dots" among facts found in many different sources. [read more]
Posted on November 10, 2014
Google Shopping Campaigns are expected to heavily influence holiday traffic as consumers compare pricing and look for specific items on the wish lists of friends and family members. Here's how to make every PLA count. [read more]
Posted on November 7, 2014
The single greatest challenge that retailers face today is to have an individualized "conversation" with each customer and to do so on a global scale. Consumers expect a similar personalized experience regardless of channel, from the marketing offers they receive to the products that appear in search results. [read more]
Posted on July 30, 2014
...a Natural Language Solution that Automatically Creates E-Commerce Content for Improved Search Relevance and Sales Conversion. Revolutionary AI and NLG technologies solve one of the biggest challenges of Omni-channel retailing: the need to create, maintain, and continuously refresh product data for multiple platforms and customer touch points. [read more]
