Cynthia Holcomb

About Cynthia Holcomb

As a UX-HCI Consultant and Researcher, I apply my expertise in sensory preference intelligence to design and build AI-enabled recommendation technologies for the retail and e-commerce sector. My platform leverages the science of human preference and the human decision to purchase, based on how products make customers feel. My mission is to enable true conversion rate optimization and customer satisfaction by understanding and matching customers\' sensory preferences of fit, look, and feel to products. I have over 20 years of experience in developing and innovating human sensory preference technologies, using the cognitive sciences of psychology, AI, and neuroscience. I am the inventor of patent-pending Prefeye Sensory Preference Shopping Systems and Methods, which use AI and ML to elicit and interpret complex human behaviors into individual customer and product sensory preference intelligence. I have also conducted extensive research on massive retail product databases, mining product attributes, preference intelligence, and brand loyalty. I have strong technical skills in Java ETL, Node.js APIs, SQL, deep neural networks, SOLR query customization, cloud computing, and agile development methods.

Experience

1. Founder CEO

   Prefeye

   Jan 2013 — Present

   Preference Science Technologies Inc. DBA: Prefeye Sensory Preference Intelligence as a Service. Out-of-the-box retail and apparel product expertise. No more spending months training tech teams to understand the business of retail or the how and why a customer makes the decision to purchase an apparel product. Prefeye knowledge base leverages millions and millions of customer and product data points into Customer-Specific Sensory Preference Intelligence. Ai + Ml Accelerator The Decision to Purchase: Human Emotion driven by an Individual Shoppers Sensory Preferences of Fit, Look and Feel. Prefeye serves as the foundational building block to build new, proprietary AI and Machine Learning applications for retailers and brands. Prefeye springboards new AI applications, enabling tech teams to build \"smarter apps\" on top of Prefeye\'s patented sensory attribute processing algorithms. Prefeye algorithms are interactive to both product and human, foundational to enabling new intuitive, human-like AI + ML business solution applications. Synthesize Sensory-Preference Intelligent API\'s. Prefeye simulates individual, human-like sensory experiences and sensations by synthesizing a retailer\'s product and customer data into millions of unique, multidimensional, preferential-based sensory inputs and outputs. Prefeye sensory processes each retailer\'s unstructured data to interact, recommend and/or predict in the form of 1 to 1 experiences with each customer based on preferential fit, look and feel factors.

Education

• Oregon State University

  Bachelor of Science (BS), Clothing and Textiles - Minor Marketing