Trade Promotion Effectiveness is an AI and machine learning-based solution designed to help consumer goods companies evaluate, optimize, and improve the ROI of trade promotions. The platform analyzes complex point-of-sale and operational data alongside contextual factors such as seasonality, competition, pricing, marketing, weather, and customer behavior to measure promotion performance across products, categories, and retail channels. It supports descriptive, predictive, and prescriptive analytics to identify factors influencing promotional success, simulate “what-if” scenarios, and recommend optimal promotion strategies. Key capabilities include cannibalization and halo effect analysis, multi-causal modeling, demand uplift prediction, and promotion ROI tracking. By leveraging advanced an

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