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Code Examples - Python

WasteNot Forecast Scenario Examples, using Python 3 in a Jupyter Notebook.

A number of example scenarios are provided for an example item with a unit cost of $1, sale-price of $5, with:

  • Varying Item Shelf-Life
  • Different Replenishment Schedules (e.g. next replenishment, periodic replenishment points, custom dates)
  • Changing levels of stock-on-hand, and the expiry date for each batch
  • Different forecasting periods (e.g. forecasting for the week ahead, vs. information for the next replenishment only)
  • Including Events

WasteNot Benefit Assessment, using Python 3 in a Jupyter Notebook.

In this example, a week-ahead forecast is simulated for an item with a one-day shelf life, daily replenishments and variable demand.

Compared to an unoptimised, unbuffered forecast, WasteNot helps achieve:

  • Significant improvement in Service Levels (91% -> 98% of demand satisfied)
  • Increase in Profit ($117K -> $122K, an improvement of $5K over 28 days)