Predictive AI, which relies heavily on clean and comprehensive data, can be more harmful than helpful if the underlying data is flawed. This mismatch between AI’s potential and the data available to fuel it often leads to suboptimal outcomes, reinforcing the idea that AI is still more hype than reality for many retailers.