Especially at the beginning of the training phase, you should continuously check whether the AI delivers the desired results. If this is the case, you can start working with the AI-based system. An image flows into the PIM system, where the AI automatically classifies the pictured item and assigns probabilities to it: For example, 95 percent of the photo shows a shoe or a household appliance, and 100 percent shows it sideways. In such unambiguous cases, you can accept the suggested classification along with matching keywords (tags) without hesitation and store the product image in the PIM system. Likewise, you can specify that the photo showing the item from the side automatically appears as the first image in the online store. Without the manual selection, the system may select a less descriptive image, such as of the sole of the shoe or the back of the device. To avoid this, you should specify the order in which the product images are to be played out.
If the system does not detect a sufficiently large match - for example, if the probability is below a previously set threshold of 80 percent match with the reference object - you are well advised to check the pre-classification and adjust the proposed tags in case of doubt. You should also determine the order of the images.