A Survey on Fashion Prediction Analysis Using Artificial Intelligence

Abstract

Garments are inextricably linked to the evolution of human culture. The introduction of new technologies accelerates the garment design industry's progress. In the area of apparel, the impact of machines has increased in importance. The fashion industry gradually got used to being technical, automated and practical. Over the last few years, the fashion design sector has moved toward more technical platforms, such as computer design. This paper's primary focus is on how conventional fashion has evolved due to new media. It believes that human cognition is malleable, and design thinking is fluid, and where the style becomes. In the rare event that the organization begins manufacturing with an order received, the concept can't be actualized. The fashion trending has so many advantages: decreasing supply chain supply, avoiding delays in the supply chain, and maximizing profits due to inventory turnover. The purpose of this article is to examine different methods of predicting fashion sales. We also reviewed various retail forecasting techniques and evaluated their characteristics to determine which one will best fit our needs. We received synthetic data, pure mathematical models, artificial intelligence models, and AI-hybrid models from the checked literature.