Warehouse picking error heatmap

Cedar Warehouse plots picking errors by day and aisle to identify a location-specific operating problem. Aisle C has the strongest concentration, particularly midweek, while the other locations remain comparatively low. The visual gives a supervisor a focused starting point for checking slotting, labels or replenishment timing. Count errors consistently and consider displaying the number of picks as a companion measure, since a high-volume aisle can have more errors in absolute terms without having the worst error rate. Before sharing it, compare the chart with the source table and make the scope explicit. A clear date range, population and unit help another reader interpret the pattern correctly and decide whether follow-up analysis is needed.