August 12, 2015 — Mountian View, CA —  Zettata ( www.zettata.com/),announced the launch of a new breed of enterprise-grade search software that significantly enhances the effectiveness of e-commerce websites. Through a combination of automatic machine learning and semantic search, Zettata’s technology surfaces the most relevant and accurate search results available, empowering both consumers and E-commerce businesses. 
Zettata also announced two of its early customers – MySmartPrice, a comparison-shopping site and ShopClues, an online marketplace. “At ShopClues, we are committed to constantly upgrading our technology to offer consumers the best possible shopping experience. With this goal in mind, wehad switched from an in-house Solr-based search solution to Zettata and are seeing a significant impact on our Search results. Further, the Zettata platform is helping our brand to perform quick AB tests and to enhance our understanding of consumer behavior. Finally, the Zettata platform has givenShopClues an innovative new functionality, the ability to rank suppliers based on their distance to the consumer and enabling shipping-cost optimization”, said Sanjay Sethi, Co-founder and CEO, ShopClues.com.  
Srinivasan Seshadri, CEO and founder of Zettata adds, “Our earliest customers have been live for more than a year now and Zettata has benefitted greatly from their rich feedback. We are now operating at significant scale, servicing upwards of 10 million search operations on an average day.”
What makes Zettata so effective? While most e-commerce search engines simply look for matching keywords in their product catalog, often resulting in no match, Zettata expertly breaks down the search terms and interpretsthem against the users’ previous behavior and a knowledge graph built from the web. More importantly, Zettata continuously learns the search results that are favored by consumers and promotes them to optimize businessmetrics. 
From a business perspective, Zettata search results in higher conversionrates and increased revenue. Daniel Tunkelang, Zettata advisor and former chief scientist of Endeca, says “Zettata has a compelling vision of blending search results that strike an optimal balance of relevance to the search query, appeal to the user’s sensibilities, and value to the business.”

Zettata highlights:
Semantic Search: The Semantic Search engine constantly builds andupdates the knowledge graph using the web. On receiving a consumer query, the search engine first restructures the search terms using the knowledge graph and then looks for the most relevant matches in the product catalog.
Personalization: The Personalization engine reorders search results based on the consumer’s prior behavior and preferences.
Business Optimization: The Business Optimization engine refines search results to promote those that drive a business metric.
Auto-learning: The Auto-learning algorithms continuously work in the background blending the output of the semantic search, personalization and business optimization engines such that the final results presented to the consumer produce both short term and long-term business value.  

For more information about Zettata, please visit  http://www.zettata.com/

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