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New AI Solution Helps Enhance Digital Imagery

Beauty giant Coty is an early adopter of Vizit's AI image analytics software, which is monitoring and optimizing visual content effectiveness online across Coty's portfolio of brands.

As artificial intelligence continues to be a hot topic (particularly since the rise of ChatGPT), visual analytics AI startup Vizit introduced a solution to help brands increase effectiveness of product imagery across the digital shelf and help marketing teams drive higher traffic, boost conversion rates and grow sales, according to a media release.

Vizit’s “Content Effectiveness Monitoring” solution uses “always-on” AI to allow e-commerce, marketing, merchandising and creative teams to automatically assess and score the impact of visual content.

Working across hundreds of millions of online product pages and more than a billion images, Vizit monitors product listing content performance against category benchmarks, generates instant recommendations on how to improve and optimize product detail page (PDP) content, and provides automated monthly updates to track competitive movement and shifts in consumer preferences, per the release.

“The brand experience in today’s world is still mostly a visual one,” Barbara Jenny Wilson, director of content platforms at Coty (which includes brands like Marc Jacobs, Vera Wang, Rimmel and Nautica) said in the release. “Imagery is immensely powerful to drive engagement, and with Vizit, we now have a simple way to measure the visual effectiveness of our content. We are incredibly excited to bring this capability into Coty at scale for all our new brand launches and know it will be having a positive impact on the bottom line.”

“Visual content is one of, if not the most important factor when it comes to influencing purchasing decisions online, yet until today there has been no way for brands to measure and monitor the effectiveness of their product imagery at the scale and speed of ecommerce,” Jehan Hamedi, founder and CEO of Vizit, said. “As a result, retailers and brands are collectively leaving billions of dollars in lost sales on the table and are wasting millions on digital advertising to drive consumers to product pages that have ineffective images. Vizit Content Effectiveness Monitoring fixes this blind spot by giving teams AI-generated Vizit Scores — real-time data and insights on the effectiveness of their image-based content — which has now become one of the most predictive and mission-critical elements of online success.”

“As an industry, it's time we move past counting the number of images on our product pages and focus more on making sure the images on our product pages actually count — quality and effectiveness are what matter most,” Hamedi added.

Content Effectiveness Monitoring is also paired with Vizit’s real-time AI image testing and comparison solution to evaluate new designs and concepts and enhance underperforming content into assets that engage consumers and “outshine” competitors on the digital shelf, per the release.

“Competitors never stand still on the digital shelf,” Mike Black, chief marketing officer at Profitero, a Publicis Groupe company, noted. “Instead, they are continuously changing and improving their product content to attract more attention and improve conversion. Before Vizit’s new AI tools, it was virtually impossible for a brand to quickly and continually assess how consumers judged their product content versus competitors and, more importantly, understand what specific aspects of the imagery and storytelling most influenced engagement.”

Vizit’s Content Effectiveness Monitoring solution is now available for Amazon U.S. and includes automated product-level content analysis and tracking, image-level measurement insights, and category benchmarking capabilities.

The April launch comes after the venture capital-backed company received $10 million in Series A funding in late 2022. Following the funding, Vizit says it increased its internal infrastructure by employing c-level executives to further its growth trajectory and blue-chip customer base. 

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