How to model non-linear demand function?












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I am trying to build a dynamic pricing algorithm on intermittent data (a lot of zeros between non-zero values). However, it seems to be quite difficult to predict the right price due to various reasons (non-regular demand, intermittent data, noises etc) so for the first step, I am trying to forecast the demand of each product using MAPA from Nikolaos Kourentzes. I hope to use this demand forecast and price-demand relation to predict the optimal price.



However, in practice these price-demand relation tends to be non-linear so I was wondering if anyone here could guide me to papers/resources that I can follow to train non-linear model(s) on the price-demand relationship with intermittent demand data. Ideally, the trained model should be optimizable for price.









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    $begingroup$


    I am trying to build a dynamic pricing algorithm on intermittent data (a lot of zeros between non-zero values). However, it seems to be quite difficult to predict the right price due to various reasons (non-regular demand, intermittent data, noises etc) so for the first step, I am trying to forecast the demand of each product using MAPA from Nikolaos Kourentzes. I hope to use this demand forecast and price-demand relation to predict the optimal price.



    However, in practice these price-demand relation tends to be non-linear so I was wondering if anyone here could guide me to papers/resources that I can follow to train non-linear model(s) on the price-demand relationship with intermittent demand data. Ideally, the trained model should be optimizable for price.









    share







    New contributor




    thulungair is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







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      $begingroup$


      I am trying to build a dynamic pricing algorithm on intermittent data (a lot of zeros between non-zero values). However, it seems to be quite difficult to predict the right price due to various reasons (non-regular demand, intermittent data, noises etc) so for the first step, I am trying to forecast the demand of each product using MAPA from Nikolaos Kourentzes. I hope to use this demand forecast and price-demand relation to predict the optimal price.



      However, in practice these price-demand relation tends to be non-linear so I was wondering if anyone here could guide me to papers/resources that I can follow to train non-linear model(s) on the price-demand relationship with intermittent demand data. Ideally, the trained model should be optimizable for price.









      share







      New contributor




      thulungair is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am trying to build a dynamic pricing algorithm on intermittent data (a lot of zeros between non-zero values). However, it seems to be quite difficult to predict the right price due to various reasons (non-regular demand, intermittent data, noises etc) so for the first step, I am trying to forecast the demand of each product using MAPA from Nikolaos Kourentzes. I hope to use this demand forecast and price-demand relation to predict the optimal price.



      However, in practice these price-demand relation tends to be non-linear so I was wondering if anyone here could guide me to papers/resources that I can follow to train non-linear model(s) on the price-demand relationship with intermittent demand data. Ideally, the trained model should be optimizable for price.







      r time-series regression forecasting





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      asked 12 hours ago









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