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Machine Learning Versus Automation in Site Search for eCommerce - Unbxd
Machine learning, AI, Deep Learning are trending buzzwords now. But, how do you tell that you need machine learning? How do you know that a particular solution has machine learning? Though the terms automation and machine learning are used interchangeably, the biggest difference between the two is that automation does not require any learning. Automation is all about using machines to automate what humans would otherwise do manually.
Data Enablers: Unbxd, Enhanced eCommerce Search PYMNTS.com
They say "seek and you shall find," but sometimes, a search doesn't always come up as fruitful as all parties had hoped. This can especially be the case in eCommerce. "Site search has been an unsolved problem in eCommerce, with online retailers losing significant revenue every day because they are not able to connect shoppers to the products they are most likely to buy," said Pavan Vilas Sondur, CEO and cofounder of Unbxd, a cloud-based eCommerce product discovery solution that helps marketers deliver a personalized and tailored shopping experience to their customers. "Unbxd uses advanced artificial intelligence, Big Data and predictive analytics to help eCommerce companies improve their site search." The mission of the business is to help empower retailers to build engagement with their customers through a search that understands natural language, is personalized for each shopper and is continually learning and adapting to the latest consumer trends.