Once enough data has been collected for a reaction, sensors could be employed to send data to a trained model which can monitor the product formation and predict the future product formation. This would inform the chemist when the reaction is nearing completion or if the reaction has stagnated. Sensor choice can be tailored to the specific chemistry. For example, pH sensors could be used in a pH-dependent reaction or colour data could be used if a colour change occurs in the reaction. This can be seen as a step towards automating, quantifying, and recording the data from some of the simpler tasks a human chemist does to understand their reaction. A litmus paper pH test is replaced by a quantitative pH sensor with a timeseries and the same for a colour change, qualitatively observable by eye but can be quantitatively defined by red, green, and blue (RGB) colour values. Sensors also offer the possibility for monitoring aspects which cannot be monitored easily in traditional ways. Data which can typically be harder to discern includes activity status of catalyst or reagents which may have poor ionisation, high reactivity, or not show under UV and common thin-layer chromatography stains.