The purpose of this article is to explain the usefulness and functionality of the Shipment in Wakeo dashboard in Analytics.
Below, you'll find some tips on how to use this dashboard :
The dashboard focuses on the data quality related to shipments in Wakeo. The main objective is to check the completeness of the fields in Wakeo to improve data quality and the level of traceability.
The dashboard highlights the importance of monitoring the completeness of data fields, particularly those mandatory for tracking, such as weight for CO2 calculation or client reference to identify all shipments. It is recommended to monitor the evolution of the completeness of each field over time.
The charts show the percentage of completeness for fields such as booking, carrier, client booking number, client reference, and consignee over several months. Another chart indicates the global traceability rate of shipments by creation date.
The objective is to ensure that shipments created in Wakeo have the mandatory data required for traceability. In our example, the global traceability level is 97%, which corresponds to the proportion of shipments created with the correct mandatory data. The reasons why some shipments were not tracked need to be investigated.
You can check the reasons why the shipments were not tracked by referring to the 'errors breakdown' chart, which indicates the missing data."
How to use this dashboard?
Data Filters: Select the main filters, such as 'Forwarder,' if they are the source of the data.
Volume of Rejections: Out of 22,000 shipments, 633 (4%) were rejected in our example. This rate is used to identify non-compliant shipments and improve the number of shipments in Wakeo.
Global Traceability: The shipment traceability rate is 97%, indicating the proportion of shipments correctly tracked with the mandatory data.
Late Creations: 32% of shipments were created after the Actual Time of Departure (ATD), with an average delay of 2.8 days, which impacts the update of key milestones before departure.
This dashboard is primarily used by project managers to identify and correct data quality issues related to shipment tracking.