Reviewiz addresses a large part of shoppers’ growing frustration with the product research process which mars the shopping experience and results in lower traffic, lower conversions, and lower revenue for online retail
Houston, Texas (PRWEB) April 26, 2017
PolyVista, a leading innovator in Natural Language Processing (NLP) technologies designed to power the next evolution of ecommerce, has released Reviewiz: an artificial-intelligence-based, enterprise-class software product that helps retail websites and online marketplaces deliver an enhanced data-driven shopping experience.
Reviewiz applies the latest advances in machine learning to solve the challenge consumers face when making purchasing decisions based on the currently flawed system of user reviews. It automatically extracts critical information from large numbers of freeform user reviews in seconds giving shoppers the ability to make better informed selections. Reviewiz delivers an intelligent crowdsourced alternative to current product rating systems, and price & feature comparison functions that yield uncertain results.
Popular products have too many reviews for consumers to read and digest to form a rational purchasing decision. Consumers often resign themselves to reading a few reviews that seem relevant which often results in small sample bias and unsatisfactory purchases. Reviewiz implements cutting edge computational linguistics methodologies to give shoppers an in-depth view of all user reviews in seconds. Reviewiz automatically “reads” all the unstructured written data posted on a product, then analyzes and summarizes all opinions for every topic mentioned by users. It arrives at an unbiased high-level analysis without human input or selection of topics through self-learning which guarantees the neutrality and trustworthiness of the analysis. Shoppers can select the criteria that matter most to them to arrive at a personalized analysis of reviews.
Reviewiz software also allows shoppers to evaluate the strength of recommendations and/or criticisms by showing the mix and weight of positive and negative views for each topic. PolyVista’s powerful visualization technology presents the data in vivid graphics designed to be responsive for convenient reading on any device.
Reviewiz is superior to systems based on keyword-based filtering of reviews, or those relying on recommending ‘top reviews’. It provides much more actionable information to shoppers than reviews based on the generic 5-star rating system. “Reviewiz addresses a large part of shoppers’ growing frustration with the product research process which mars the shopping experience and results in lower traffic, lower conversions, and lower revenue for online retail” says Shahbaz Anwar, PolyVista’s CEO. By analyzing all reviews pertaining to a product, at times thousands of them, Reviewiz allows shoppers to put in perspective the very biased, overly opinionated, or ‘sponsored’ reviews to achieve a more balanced and more reliable view.
Easy comparison shopping is one of the great advantages of ecommerce. Reviewiz takes this important aspect to the next level by providing advanced comparisons between products based on the details posted in user reviews, saving shoppers the time needed to compile meaningful comparison data. In so doing, Reviewiz offers a trustworthy alternative to product comparisons based on less useful structured data, and often funded by suppliers.
Reviewiz has been designed for native integration into the ecommerce infrastructure of any retail site and marketplace. PolyVista’s professional services team provides expert support for customizing the core review analysis functionality and for presenting the data in a way that will fit any ecommerce deployment.
Reviewiz has been successfully deployed to solve complex challenges with unstructured data for: Product Quality Management, Customer Service, Demand Generation, Public Relations and Social Media at several Fortune 500 companies.
PolyVista is a leading innovator of advanced natural language processing (NLP) solutions used by global companies to better understand customers, improve the design and quality of complex products, and manage global brands. PolyVista’s unique artificial intelligence-based language processing engine meets the needs of the enterprise intent on creating new customer experiences through frictionless use of unstructured user generated data.