FORECASTING MODEL OF EXPORT OF INDIAN ‘TEXTILE UPPER FOOTWEAR’ COMMODITIES USING DEEP LEARNING NEURAL NETWORK

Abstract

In the wake of ecological degradation, the current global state of affairs is inclined towards sustainable manufacturing. Pertaining to sustainable industrialization, the footwear industry is not an exception. A typical shoe manufacturing process involves environment-threatening and brutal leather extraction activities from animals. On the other hand, textile materials as one of the compositions of footwear manufacturing, mitigates the tannery process and sets out as an eco-friendly process. There upon, the economies that are the prime players in terms of footwear production should take the reins to foster sustainable footwear manufacturing. India being one of them holds the position of one of the top exporters of footwear globally and has the USA as its one of the top export destinations. This study revolves around the effect of export parameters on ‘textile in footwear’ commodities from India to the USA. This paper validates the use of Artificial Neural Network modeling with its different structures to predict export predictions. The results showed that the Deep learning Neural Network outperformed the conventional method of Polynomial curve fitting.