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Grow Revenue and Improve Operations with Visual Search

Recorded - available as on demand webcast

Visual search – the ability to search your product catalog and supply chain based on a photo taken with a smartphone - is an emerging technology worth watching. It has the potential to radically improve the customer experience by providing more intuitive search options for a global audience (a picture speaks a 1000 words). Which in turn improves conversions and cart values.

Top retail brands are already incorporating this technology into their ecommerce processes. And, where B2C goes, B2B will follow as more people demand the option. And, they will - according to Pinterest, 600 million users use the platform’s visual search tool “Lens” each month. 

In this webinar, we dive into how visual search works, how you can use it to differentiate your business from competitors, and what you need in place to implement it. We will cover:

  • The nature of visual search
  • How machine learning algorithms are trained to recognize visual patterns
  • Various strategies for approaching visual search
  • How to align product data models with visual search
  • Ways of evaluating visual search technologies
  • Assessing your data and content readiness to leverage visual search

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Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

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How to Design Omni-Channel IVAs That Humans Love To Use

During our webinar, "Omni-channel Virtual Assistants - The Next Frontier in Voice and Text for Customer Service guest speaker Chris Featherstone, who leads business development for AI and speech recognition services at Amazon Web Services (AWS) and Seth Earley, CEO of Earley Information Systems (EIS) discussed ways to design omni-channel virtual assistants to optimize their use across voice and text. When supported by an appropriate information architecture and designed with a deep understanding of the customer, virtual assistants can access enterprise knowledge efficiently, saving time and money. The key to success is to structure the underlying information so it can be retrieved and used by any channel, including humans, to deliver the responses that customers need. Here's a recap of the conversation.