The work aims to solve the placement problem of stand on the pallet by means of artificial intelligence algorithm, so as to meet the requirements of enterprises and improve the loading efficiency. According to the actual performance constraints, the three-dimensional placement problem of the stands’ pallet loading was transformed into a two-dimensional problem. On the basis of the location of placement points and the order rule of blocks, the genetic algorithm was used to find out the placement solution within a few minutes. The five parameters, including space length L and width W, length L1 of object to be placed and width W1 and W2 were combined as variables to explore the effects of three factors (pallet specifications, packaging materials and stand size) on the placement solution. When the five parameters (L=1000 mm, W=800 mm, L1=700 mm, W1=380 mm and W2=50 mm) were quantitative, the optimal loading of the estab-lished case was 17 and the loading mode was C: 0. When the parameters were variables, the placement solution data were collected, and the images of the effects of three factors on the placement and the relationships between them were fitted. By applying the information intelligent packaging technology, by reference to the data sources of placement solution and making use of the data mutation characteristics, it is effective to help users design products better in the early stage and improve the selection efficiency of the packaging engineer’s placement scheme in the later stage.