Inventory inaccuracies are a mayor challenge in any supply chain. Good insight in current inventory levels is of key importance for warehousing operation and on shelf availability. Manual scanning and counting is labor intensive, repetitive, time consuming and still insufficient to improve inventory inaccuracy. Therefore, AIRLab develops and experiments with automated vision technology to spot stock differences and their causes in a more effective way. This technology holds large potential to get a better grip on inventory inaccuracies and stock control in general.