This paper presents a new approach for designing form elements of a product based on consumers’ perception of images of the product. Neural network (NN) models are used to suggest the best combination of product forms for matching a given set of product images. An experimental study on the form design of mobile phones is conducted to evaluate the performance of four NN models, which are developed by linking 9 form elements with 3 product images of mobile phones. The evaluation result shows that NN models can be used to help product designers determine the best combination of form elements for matching a set of desirable product images.