Kevel has announced the launch of Kai (Kevel Artificial Intelligence), a comprehensive suite of AI and machine learning technologies designed to transform the retail media landscape. Integrated into Kevel's Retail Media Cloud™ platform, Kai aims to improve performance optimization, increase relevancy, and enhance profitability for retail media networks. The suite introduces two innovative features: Forecast and Custom Relevancy, which leverage advanced machine learning to predict campaign performance and allow retailers to integrate their own AI/ML models for ad relevance, respectively.
The development of Kai was led by Kevel's AI/ML research group, including industry experts such as CTO Tim Ewald and Retail Media Cloud GM Paulo Cunha. Forecast stands out by utilizing machine learning simulations that consider contextual and user audience targeting parameters, offering accurate projections of future campaign performance. Custom Relevancy enables retailers to apply their proprietary algorithms within Kevel's Ad Server, tailoring ad serving to their specific needs.
According to Paulo Cunha, Forecast is a pioneering tool for retail media, providing advertisers with precise future performance insights and helping retailers maximize inventory yield. Tim Ewald emphasized the transformative potential of Custom Relevancy, allowing retailers to influence ad serving with their own ML models for a more personalized user experience.
Kai also integrates existing Kevel features like ad decisioning and pacing, showcasing the company's commitment to a holistic ad serving solution. This innovation arrives as the retail media sector grows, with businesses looking to compete with giants like Amazon by launching their own ad platforms. Kevel's Kai positions the company as a leader in enabling retailers to offer sophisticated ad formats and targeting, both online and in-store.
The introduction of Kai is timely, as the demand for targeted and relevant ads based on advanced AI models increases. Kevel's forward-thinking approach, as noted by Principal Data Scientist Richard Carter, indicates more innovative features are in development, promising to further revolutionize retail media technology. For more information, visit https://www.kevel.com.
