Using the filters and switches

In addition to the global filters previously described, the report provides the filters and switches highlighted in the following screenshot:

Lead-Time-Switches.png

Note

The top red line shows the cumulative figure, whilst the blocks below it show the individual figures for each time band.

Once you click away from a switch after changing it, the graph, trade lanes and weekly, 'service group' and market 'slicers' are updated automatically in line with your selection.

For the population of the Parcel Details tab shown at the top of the screen, refer to Drilling through to the Parcel Details tab.

Data Type

This switch applies to the trade lanes below the graph and allows you to select how the numbers of parcels processed within the different time bands are to be represented:

Data_Type.png

Select the required option:

  • Actual for each number to be shown as a numeric value;

  • Percentage for each number to be shown as a percentage of the overall number of parcels processed;

  • Cumulative for each number to be shown as a percentage after adding in the figures from the previous time periods.

Transit Time

The Transit Time switch allows you to specify how the transit event is to be defined for the current dataset:

Transit_Time.png

The events are self-explanatory. The time bands for the top two events are days, whereas those for the bottom three events are hours.

Creation to End is the default Transit Time.

Final Event

Where Final Event is specified in a transit time selection, this switch allows you to determine what the Final Event is for the current dataset - i.e. it can be either the First Delivery Attempt (the default), or the Actual Delivery into the consumer's hands:

Final_Event.png
Notes on filtering by Service Group

When you filter the data by service group, you can quickly see whether the services within a particular group (e.g. Express Delivery) are fulfilling their SLAs.

Combining the filters and switches

The combination of the above filters and switches allows you to quickly see where the problems are at any stage in the delivery chain, and, by drilling down, to quote details of specific parcels.

For example, the following report shows the parcels picked up from the German warehouse by services within the Express Delivery service group. It highlights the actual numbers of those parcels that were delivered into consumers' hands during the different time bands, and immediately demonstrates that some services are not fulfilling the Express criteria:

Germany_Lead_Time_2_.png