The 'overlay score' of Auto-VTNA, based on total fitting to a flexible function, is different from that employed in Kinalite, which relies on the difference in y-axis values of datapoints when sorted by transformed time value ('error') (see ESI, Section S2.2). This 'error' measure can in some cases yield incorrect order values that do not reflect optimal concentration profile overlay, especially if the density of the two compared data series is different. In contrast, Auto-VTNA reliably yields the order value(s) that maximise concentration profile overlay as judged by visual inspection on all tested examples (see ESI, Section S3.3), thus successfully automating the visual part of VTNA.