Jehan Hamedi is the founder of Vizit, an AI company working on the analysis and understanding of visual content and imagery for enterprise brands and retailers. He has spent about 15 years in the AI industry building, designing and scaling AI measurement systems.
Detection and classification can tell you what sits inside an image, and Jehan's interest runs past that into a harder question, which is whether an image moves a particular shopper in a particular market and category to choose a product. Vizit trains models on behavioral, product, sales, social and search data to simulate the shopper, produces Vizit Scores against the competitive set, and feeds that context into generation through Vizit Spark, so a low scoring image gets rebuilt rather than described.
In this conversation, the first impression Jehan says a shopper forms in under 13 milliseconds, the crickets you get when you ask a brand manager to name their best images, how context separates a generalist image generator from one aimed at conversion, what shifts by country when you photograph cat food, and his prediction about scoring images before they ship.
This episode is sponsored by the B2B Commerce Trends and Opportunities Report, presented by Shopware and written and researched by Content Cucumber. Grab your free copy at https://contentcucumber.com/b2b-commerce-trends-report/
Links
Vizit https://www.vizit.com
Jehan on LinkedIn https://www.linkedin.com/in/jehanhamedi/