{
  "id": 21725,
  "title": "Inventory management framework based on time series demand data",
  "url": "/competitions/grupo-bimbo-inventory-demand/discussion/21725",
  "author_name": "",
  "post_date": "2016-06-16T12:07:09.923Z",
  "votes": null,
  "comment_count": 1,
  "views": 452,
  "content": "<p>i see that there are 2 types of demand that needs to be there :\n1) Minimum demand (very less variability) : this is needed because there is huge penalty for missing inventory... this can be predicted by moving averages (i guess)</p>\n\n<p>2) Dynamic demand (high variability) : this is varying due to seasonality / particular occasions that spike the demand...this can be predicted by time series Arima (i guess)</p>\n\n<p>any thoughts/comments on the framework/ idea i had are welcome</p>",
  "messages": [
    {
      "id": "124241",
      "postDate": "06/16/2016 12:07:09",
      "content": "<p>i see that there are 2 types of demand that needs to be there :\n1) Minimum demand (very less variability) : this is needed because there is huge penalty for missing inventory... this can be predicted by moving averages (i guess)</p>\n\n<p>2) Dynamic demand (high variability) : this is varying due to seasonality / particular occasions that spike the demand...this can be predicted by time series Arima (i guess)</p>\n\n<p>any thoughts/comments on the framework/ idea i had are welcome</p>",
      "rawMarkdown": "i see that there are 2 types of demand that needs to be there :\r\n1) Minimum demand (very less variability) : this is needed because there is huge penalty for missing inventory... this can be predicted by moving averages (i guess)\r\n\r\n\r\n2) Dynamic demand (high variability) : this is varying due to seasonality / particular occasions that spike the demand...this can be predicted by time series Arima (i guess)\r\n\r\nany thoughts/comments on the framework/ idea i had are welcome",
      "votes": null
    },
    {
      "id": "395190",
      "postDate": "09/28/2018 05:33:46",
      "content": "<p>Yes, its a great stuff, can we use deep learning to predict the safety stock levels?</p>",
      "rawMarkdown": "Yes, its a great stuff, can we use deep learning to predict the safety stock levels?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 395190,
      "author_name": "saravana08",
      "author_url": "",
      "post_date": "09/28/2018 05:33:46",
      "content": "<p>Yes, its a great stuff, can we use deep learning to predict the safety stock levels?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "124241": "i see that there are 2 types of demand that needs to be there :\r\n1) Minimum demand (very less variability) : this is needed because there is huge penalty for missing inventory... this can be predicted by moving averages (i guess)\r\n\r\n\r\n2) Dynamic demand (high variability) : this is varying due to seasonality / particular occasions that spike the demand...this can be predicted by time series Arima (i guess)\r\n\r\nany thoughts/comments on the framework/ idea i had are welcome",
    "395190": "Yes, its a great stuff, can we use deep learning to predict the safety stock levels?"
  },
  "source": "meta"
}