Humans “know” immediately if they LIKE a product or NOT… by how the product makes them “FEEL.” The “Known” Unknowns” of individual sensory-preference, the missing link in authentic 1 to 1 digital personalization.
Inspired by retail product leadership roles for top U.S. retailers including Design Director to Nordstrom, led Cynthia to technological research in the cognitive sciences of psychology, AI and neuroscience. The focus, automated, agnostic, elicitation of individual human preference intelligence, the invisible system within all humans, ruled by human perception, memory and emotion, translated into the decision to purchase a brand/product by an individual consumer. The mission, cross the digital shopping sensory chasm imposed by non-cognitive computer and data science methodologies.
Cynthia’s 2nd tech company, Prefeye has developed patent-pending, technologies able to illicit individual human and product sensory intelligence enabling 1 to 1 digital personalization.
Cynthia is a frequent Retail and Ai Thought Leadership contributor, including Ai Next Conference, Retail Wire [Brain Trust], Forbes, Women’s Wear Daily, and other periodicals.
Confounded by all the noise in personalization technologies?
There is an ongoing challenge to build human-centric, intelligent systems and platforms, especially in the area of Ecommerce, a multi-trillion dollar global industry. Current systems operate on principles of binary and linear logic. Humans, however, often base their purchase and product decisions on the invisible system of individual human preference.
As CX Professionals, the monstrous challenge is not selecting the right technology solution as much as it is solving for the human side in personalization: explicit vs. implicit human behavior, and the dichotomy of computer science and human centric abstraction.
In this workshop, I will explain how AI can be leveraged to design and build interactive, intelligent knowledge platforms, able to elicit individual human preference intelligence. Resulting in highly persuasive, personalized intelligence for use in numerous business applications, including recommender systems, marketing, product design and execution.
In this session, you will learn:
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