Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail

Author:

Sajja Shravan1,Aggarwal Nupur1,Mukherjee Sumanta1,Manglik Kushagra1,Dwivedi Satyam1,Raykar Vikas1

Affiliation:

1. IBM Research, India

Publisher

ACM

Reference19 articles.

1. Comparison between XGBoost, LightGBM and CatBoost Using a Home Credit Dataset;Al Daoud Essam;International Journal of Computer and Information Engineering,2019

2. Lennart Baardman Igor Levin Georgia Perakis and Divya Singhvi. 2017. Leveraging comparables for new product sales forecasting. Available at SSRN 3086237(2017). Lennart Baardman Igor Levin Georgia Perakis and Divya Singhvi. 2017. Leveraging comparables for new product sales forecasting. Available at SSRN 3086237(2017).

3. Charles W Chase. 2013. Demand-driven forecasting: a structured approach to forecasting. John Wiley & Sons. Charles W Chase. 2013. Demand-driven forecasting: a structured approach to forecasting. John Wiley & Sons.

4. XGBoost

5. Andres Garro. 2011. New product demand forecasting and distribution optimization: a case study at Zara. Ph.D. Dissertation. Massachusetts Institute of Technology. Andres Garro. 2011. New product demand forecasting and distribution optimization: a case study at Zara. Ph.D. Dissertation. Massachusetts Institute of Technology.

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