Procter & Gamble (P&G) conducted 73 studies in oral health care, producing 1,554 unique claims. To compare these claims, a Sparse MaxDiff study was designed, using a subset of claims to create a database. AI models were then trained to predict claim success, with the most successful model using OpenAI embeddings and a neural network. The study demonstrated AI’s potential for predicting claim outcomes but highlighted the need for a robust claims database for accurate predictions.
