Regional utilization rate is calculated as the percentage (%) of local and zonal orders out of your total orders.
Tracking the regional utilization rate is important to monitor inventory availability and performance in different geographic regions.
In this article, you will learn
How to check the regional utilisation rate report?
What are the various filters you can use?
What are the various analysis you can get from this report?
On the top pane, you can find the following filters.
Duration: It is the time period for which you want to calculate the on-time RTS rate.
Sales channel: It is the channel for which you want to calculate the On-time RTS rate.
Origin: It is the location from where the orders are dispatched. This displays the list of origin locations.
Destination: It is the location to which the orders are delivered. This filter displays the list of delivery locations.
Additional filters like Brand, Category and SKU.
In this report, you can analyse the following:
Regional utilization rate: The regional utilisation rate is the percentage of local and zonal orders out of your total orders.
Local: Total number of local orders.
Zonal: Total number of zonal orders.
Total: Total number of orders created on your Eshopbox workspace.
A summary of the data is also available along with the report for the total orders placed during the selected time period, and the orders which were fulfilled as local delivery and zonal delivery.
This represents the percentage of regional (zonal and local) orders that have been successfully fulfilled for a specific product, category, or brand out of the total orders created on your Eshopbox workspace.
It also indicates the recommended inventory level for each zone (East, West, North, and South) based on the delivery location, ensuring efficient order fulfilment across different regions.
You can also export the product details like ESIN, SKU, EAN, UPC, GTIN or Product group code, along with the no. of orders placed zone-wise by clicking on View all > Export.
A pop-up will appear on your screen. Click on Export