Gathers data from multiple sources, including user interactions, databases, or external data feeds such as market trends, social media, etc.

The Behavioural Economics algorithms analyze the data to identify human behavioural patterns, cognitive biases, or anomalies.

AI algorithms make initial decisions based on the data and behavioural insights.

Executes the decision, which might mean showing a specific product recommendation to a user or changing a price variable or marketing spend.

Collects data on the effectiveness of its decisions. Did the consumer make a purchase? Did the ROI from marketing spend was positive or over its baselines?

Fine-tunes both its AI algorithms and its behavioural models using the feedback loop, which involves reweighting the importance of certain variables, adjusting for newly recognized biases, or retraining machine learning models.