Dashboard

You can use the Optiply dashboard to look at the results of Optiply on a tactical level.

Jan Blans avatar
Written by Jan Blans
Updated over a week ago

The article below explains how the Optiply dashboard works and what you should pay attention to.

Graph

The graph below shows the service level per category over the past few months. When the graph's line suddenly drops, it often means that something is not going right with the delivery reliability.

Open tasks

The chart below indicates tasks you must pay attention to. This will allow you to detect any missing details that will prevent you from using Optiply properly.

They are categorised by colours in order of importance.

  • In red are the most important ones that will cause errors in the normal function of Optiply.

  • In orange are the less serious ones but that will still have an impact on the normal function of Optiply.

  • In green are the daily tasks.

Stock details

  • Stock value: this shows your total current stock value.

  • Turnover time: the average time one euro of stock is in the warehouse.

  • General service level: the average service level of the three categories (A, B and C).

  • Trend: the trend in sales of the entire product range. This is the growth compared to last year.

  • Seasonal factor: the seasonality in sales of the entire product range. This is the growth compared to 30 days ago.
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In the chart shown below, you can see what happens per category.

  • You can see the current service level compared to the desired one.
    You want your current service level to be as close as possible to your service level target.

  • In addition, you can see your stock value and the percentage by which it has decreased or increased compared to the previous month. You would rather see your stock value in the A category rise than fall and the stock value in the B and C categories fall, but only if your service level remains good.

  • Finally, you can see the turnover rate per category. You want to have as many days as your cycle (order period + delivery time) length. This means that there is a buffer stock.
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