• 2014 June 01

Company Description

Better search that empowers your customers on every platform.

By 2017, 40 million Americans will have access to Amazon’s Alexa. Shopping will be as easy as saying “reorder paper towels”. Retailers that lack a conversational commerce solution will continue to lose market share to Amazon. AddStructure is here to help those retailers. We offer a white-labeled natural language understanding (NLU) platform that Retailers and Brands can use to enable conversational commerce channels. Each day, millions of consumers interact with AddStructure's products: Signal Search, Path, and Scaffold. Applications of our technology range from review summarization (distilling thousands of reviews of a product into digestible pros and cons) to a complete conversational commerce system (chatting with an intelligent digital assistant to find and purchase products). Our technology is used by retailers in the InternetRetailer 1000 and Fortune 100. --Path-- Path automatically creates search engine optimized landing pages to capture organic search traffic. It does this by analyzing and then restructuring your product and site content to perfectly match queries consumers use to find your products on external search engines. --Signal-- A great search experience is central to providing consumers with an excellent site experience. Signal is a search plugin that integrates with platforms like SOLR to automatically improve relevance for subjective, thematic, and semantic search queries. Signal goes light years beyond keyword matching by understanding the intent of a search query and providing optimal results. --Scaffold-- Scaffold provides organizations with the building blocks for any Search and Discovery project. Scaffold transforms unstructured content (such as phone calls, reviews, and emails) into structured data that is readable and actionable by both machines and humans. Our customers have used Scaffold to extract product facets from free text, to create fine-grained taxonomies, and to summarize customer correspondence.