Abstract: The present disclosure provides a method for ordering insole optimized to a customer in which a learning model classifying foot types from various human foot images is established by using an artificial intelligence algorithm, an image of a customer's rearfoot is read based on the learned model, and customized insole information corresponding to the foot type is provided to the customer.

Abstract: Provided is a shoe including a sole and an upper, where the upper includes an inner upper and an outer upper. The inner upper includes 90% or more of a wool fiber and the outer upper includes a combination of 50 to 80% by weight of the wool fiber and 20 to 50% by weight of a synthetic fiber based on the total weight of the outer upper.

Abstract: Disclosed is a shoe including a sole and an upper, wherein the upper includes an inner upper and an outer upper, wherein the inner upper includes 90% or more of a wool fiber and the outer upper includes a combination of 50 to 80% by weight of the wool fiber and 20 to 50% by weight of a synthetic fiber, based on the total weight of the outer upper. The shoe according to the present invention can facilitate discharge of sweat generated during exercise through the upper made of natural wool fiber and thus offer fresh wear sensation and can be worn without socks. In addition, elasticity of wool fabric can reduce resistance of shoes depending on shape change of feet during exercise or in a daily life, thus impairing foot comfort. As a result, people whose feet swell readily, such as pregnant women, can wear the shoes without irritation.