Main Reference PaperExploring the use of deep neural networks for sales forecasting in fashion retail, Decision Support Systems, 2018 [R]
  • #The fashion retail industry exploits the deep learning method to forecast the forthcoming sales of recent products in the market to enhance the business. It exploits the historical sales data to obtain better prediction results. In addition, it compares the deep learning based sales prediction with shallow techniques.

Description
  • #The fashion retail industry exploits the deep learning method to forecast the forthcoming sales of recent products in the market to enhance the business. It exploits the historical sales data to obtain better prediction results. In addition, it compares the deep learning based sales prediction with shallow techniques.

  • To facilitate the purchasing operation of the fashion retail industry

  • It compares the predicted results of deep learning with the shallow networks

Aim & Objectives
  • To facilitate the purchasing operation of the fashion retail industry

  • It compares the predicted results of deep learning with the shallow networks

  • To proposed sales forecasting system further improved by including the feature scaling techniques

Contribution
  • To proposed sales forecasting system further improved by including the feature scaling techniques

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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