Boosting Retail Analytics: Causal Inference and Explainable AI

The article's focus on causal inference and explainability is timely given the increasing complexity of retail data and decision-making. By leveraging these techniques, retailers can gain deeper insights and improve the reliability of their predictive models.

• •Causal inference helps understand the 'why' behind retail trends, going beyond simple correlations.
• •Explainable AI provides transparency and builds trust in AI-driven recommendations.
• •These tools can improve marketing, inventory management, and customer experience in retail.