Allure: AI-driven packaging evaluation with shelf impact prediction

ALLURE revolutionizes packaging design optimization. Built on advanced AI models trained with real eye-tracking data, ALLURE predicts consumer attention and delivers actionable insights—before costly production and deployment. ALLURE simulates shelf impact to evaluate packaging designs at scale, replacing expensive, time-consuming eye-tracking studies with rapid, secure visual analytics. By identifying winning designs early, ALLURE helps brands reduce redesign costs and accelerate time-to-market. Powered by AWS services like Amazon SageMaker, AWS Lambda, and Amazon S3, ALLURE combines speed, scalability, and security to process visual analyses in seconds. Businesses receive predictive heatmaps, performance scores, and tailored recommendations to optimize design strategies. All with enterprise-grade reliability and compliance. ALLURE transforms packaging testing into a fast, data-driven process—helping brands reduce waste, improve engagement, and boost conversion. Reducing testing time by up to 80%, delivering insights in days instead of weeks. It cuts research costs by 50–70% by replacing expensive eye-tracking studies with AI-driven simulations, while increasing shelf visibility by up to 40% by identifying designs that capture shopper attention first.