Thanks to the wealth of data and sophisticated algorithms at our disposal today, artificial intelligence (AI) and machine learning (ML) are becoming increasingly important. But data-driven algorithms struggle to process contextual information and out-of-scale data points. This could create bottlenecks in supply chains and cause, for example, frustrating instances such as the toilet paper shortage many of us experienced at the beginning of the pandemic.