Kevel Artificial Intelligence (Kai) is a suite of advanced AI technologies that serve as the foundation for The Retail Media Cloud®. Kai enhances key features within Kevel's products, including Kevel Ad Server and Kevel Audience. In Kevel Ad Server, Kai drives forecasting, pacing, decisioning, and custom relevancy, enabling retailers to achieve smarter results. It uses machine learning to intelligently balance advertiser, retailer, and user priorities, ensuring shoppers see highly relevant ads that also benefit the retailer and advertiser. Kevel Forecast leverages machine learning simulations for inventory insights, while Kevel Pacing uses feed-forward inputs based on historical data and predictions for balanced ad delivery. Custom Relevancy allows retailers to integrate their own AI/ML models for enhanced customer understanding. In Kevel Audience, Kai's machine learning models provide real-time, user-level predictions based on site interactions and power an AI segment builder that focuses on desired outcomes for targeted segmentation.

Features & Benefits

• Real-time Predictions: Provides user-level predictions based on interactions, enhancing audience segmentation and ad personalization.
• Intelligent Pacing & Forecasting: Optimizes ad delivery and inventory insights using machine learning for improved sell-through rates and operational efficiency.
• Custom Relevancy Integration: Allows retailers to integrate their own advanced AI/ML models for a more personalized ad experience.
• AI-Powered Segmentation: Enables the creation of targetable audience segments based on desired outcomes, leveraging AI for precise targeting.
• Enhanced Decisioning Engine: Intelligently balances advertiser, retailer, and user priorities for optimal ad relevance and yield.