Analyze Order-to-Delivery Time Analytics Dashboard
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AfterShip Tracking allows you to monitor and optimize shipment delivery times from order creation to shipment delivery. You can analyze processing, pickup, transit, and overall delivery times under one dashboard to identify supply chain bottlenecks and improve your shipping strategy for enhanced customer satisfaction.
In this article, we will discuss:
Overview of the Order-to-delivery time dashboard
How to apply multiple filters on the order-to-delivery time dashboard
Log in to the AfterShip Tracking admin dashboard
Click Analytics > Order-to-delivery time
The dashboard consists of various sections, including:
Average order-to-delivery time: It refers to the average time taken from the placing of the order to the delivery of the shipment. It is calculated as (total processing time + total pickup time + total transit time) divided by the total number of shipments.
Average processing time: It refers to the average time taken by the merchants to process the order. It is calculated as total processing time divided by the total number of shipments.
Average pickup time: It refers to the average time taken by the carriers to pick up the shipment from the merchant’s end. It is calculated as total pickup time divided by the total number of shipments.
Average transit time: It refers to the average time taken by the carriers to deliver the shipment to the customers. It is calculated as total transit time divided by the total number of shipments.
Each metric is calculated on the basis of the dates on which the event took place. The available options are:
Order date: It refers to the date on which the order is placed.
Ship date: It refers to the date on which you process the shipment for pickup.
Pickup date: It refers to the date on which the shipment is picked by the carrier for delivery.
Delivery date: It refers to the date on which the shipment is delivered to the customer.
Note: The transit time metric on the Order-to-delivery time dashboard is calculated based on the new logic wherein, the order pickup date is no longer considered as one transit day. Whereas, on the Transit time analytics dashboard, it is calculated based on the old logic and therefore, there will be a difference in the values under both dashboards until 12th October 2023. View details here.
Additional information
All metrics are calculated in calendar days.
The timestamp of each event will be converted to the time zone of the origin address before calculation. If a specific event lacks timezone information, then no timezone conversion will be made.
The processing time, pickup time, and transit time metrics are calculated only after the two required events have a timestamp.
The order-to-delivery time is only calculated after processing time, pickup time, and transit time have been assigned a value.
For shipments imported through Shopify, the fulfilled date in Shopify is mapped to the ship date in AfterShip. This date is then used to calculate the processing time.
You can also view the Shipment list data in table format and export it by clicking on each metric.
Average order-to-delivery time over time: It shows the analysis of the average time taken from placement to delivery of the order over the selected time frame. The time range can be selected in Day, Week, and Month.
Average processing time over time: It shows the analysis of the average time taken in the processing of the order by the merchant over the selected time frame. The time range can be selected in Day, Week, and Month.
Average pickup time over time: It shows the analysis of the average time taken by the carriers to pick up the order for delivery over the selected time frame. The time range can be selected in Day, Week, and Month.
Average transit time over time: It shows the analysis of the average time taken by the carriers to deliver the shipment to the end user over the selected time frame. The time range can be selected in Day, Week, and Month.
The distribution chart, which includes Order-to-delivery time distribution, Processing time distribution, Pickup time distribution, and Transit time distribution showcases values or value ranges that are the most common or frequent in the dataset. The primary purpose of this distribution chart is to help users identify patterns and characteristics in the data. The information from the distribution chart can help in setting appropriate performance targets or benchmarks for customer satisfaction.
You can view and export shipments associated with the particular data point by clicking on the specific graph.
The dashboard can be filtered on the basis of three categories, i.e., Date range, Location, and Carrier/Service.
Filter by date
You can select the date range of the shipments based on three conditions:
Created: The date on which shipments are created
Ordered: The date when the orders for the shipments were placed
Picked up: The date on which the shipments were picked up by the carriers
By default, the dashboard will show the shipments ordered in the last 30 days with all the locations and carriers.
Filter by location:
Under this, you can filter the shipments based on two categories, i.e., Origin and Destination. You can scroll up and down in order to select the country, state, or city.
Filter by carrier and service: Under this filter, you can choose to view the data of the shipments based on the Origin and Destination carrier or service.
Please note that if the shipment is carried by only one carrier during the journey, then only the origin carrier will be recorded.
The order-to-delivery time analytics is supported for the following platforms and APIs.
In case you need any further assistance, feel free to reach out to our support team.
Overview
AfterShip Tracking allows you to monitor and optimize shipment delivery times from order creation to shipment delivery. You can analyze processing, pickup, transit, and overall delivery times under one dashboard to identify supply chain bottlenecks and improve your shipping strategy for enhanced customer satisfaction.
What you’ll learn
In this article, we will discuss:
Overview of the Order-to-delivery time dashboard
How to apply multiple filters on the order-to-delivery time dashboard
Overview of the Order-to-delivery time dashboard
Log in to the AfterShip Tracking admin dashboard
Click Analytics > Order-to-delivery time
The dashboard consists of various sections, including:
Average order-to-delivery time: It refers to the average time taken from the placing of the order to the delivery of the shipment. It is calculated as (total processing time + total pickup time + total transit time) divided by the total number of shipments.
Average processing time: It refers to the average time taken by the merchants to process the order. It is calculated as total processing time divided by the total number of shipments.
Average pickup time: It refers to the average time taken by the carriers to pick up the shipment from the merchant’s end. It is calculated as total pickup time divided by the total number of shipments.
Average transit time: It refers to the average time taken by the carriers to deliver the shipment to the customers. It is calculated as total transit time divided by the total number of shipments.
Each metric is calculated on the basis of the dates on which the event took place. The available options are:
Order date: It refers to the date on which the order is placed.
Ship date: It refers to the date on which you process the shipment for pickup.
Pickup date: It refers to the date on which the shipment is picked by the carrier for delivery.
Delivery date: It refers to the date on which the shipment is delivered to the customer.
Note: The transit time metric on the Order-to-delivery time dashboard is calculated based on the new logic wherein, the order pickup date is no longer considered as one transit day. Whereas, on the Transit time analytics dashboard, it is calculated based on the old logic and therefore, there will be a difference in the values under both dashboards until 12th October 2023. View details here.
Additional information
All metrics are calculated in calendar days.
The timestamp of each event will be converted to the time zone of the origin address before calculation. If a specific event lacks timezone information, then no timezone conversion will be made.
The processing time, pickup time, and transit time metrics are calculated only after the two required events have a timestamp.
The order-to-delivery time is only calculated after processing time, pickup time, and transit time have been assigned a value.
For shipments imported through Shopify, the fulfilled date in Shopify is mapped to the ship date in AfterShip. This date is then used to calculate the processing time.
You can also view the Shipment list data in table format and export it by clicking on each metric.
Average order-to-delivery time over time: It shows the analysis of the average time taken from placement to delivery of the order over the selected time frame. The time range can be selected in Day, Week, and Month.
Average processing time over time: It shows the analysis of the average time taken in the processing of the order by the merchant over the selected time frame. The time range can be selected in Day, Week, and Month.
Average pickup time over time: It shows the analysis of the average time taken by the carriers to pick up the order for delivery over the selected time frame. The time range can be selected in Day, Week, and Month.
Average transit time over time: It shows the analysis of the average time taken by the carriers to deliver the shipment to the end user over the selected time frame. The time range can be selected in Day, Week, and Month.
The distribution chart, which includes Order-to-delivery time distribution, Processing time distribution, Pickup time distribution, and Transit time distribution showcases values or value ranges that are the most common or frequent in the dataset. The primary purpose of this distribution chart is to help users identify patterns and characteristics in the data. The information from the distribution chart can help in setting appropriate performance targets or benchmarks for customer satisfaction.
You can view and export shipments associated with the particular data point by clicking on the specific graph.
How to apply multiple filters on the order-to-delivery time dashboard
The dashboard can be filtered on the basis of three categories, i.e., Date range, Location, and Carrier/Service.
Filter by date
You can select the date range of the shipments based on three conditions:
Created: The date on which shipments are created
Ordered: The date when the orders for the shipments were placed
Picked up: The date on which the shipments were picked up by the carriers
By default, the dashboard will show the shipments ordered in the last 30 days with all the locations and carriers.
Filter by location:
Under this, you can filter the shipments based on two categories, i.e., Origin and Destination. You can scroll up and down in order to select the country, state, or city.
Filter by carrier and service: Under this filter, you can choose to view the data of the shipments based on the Origin and Destination carrier or service.
Please note that if the shipment is carried by only one carrier during the journey, then only the origin carrier will be recorded.
Supported platforms
The order-to-delivery time analytics is supported for the following platforms and APIs.
| Platform Type | Names |
|---|---|
| Ecommerce platform | Shopify, WooCommerce, BigCommerce, Magento, Shoplazza, Shopline, Wix, Spree, CS-Cart, 3dcart, Cdiscount, and AmeriCommerce |
| API Type | Required fields |
| Tracking API | tracking_number, tracking_ship_date, and order_date |
| Commerce API | source_created_at |
| Under the shipments array: | |
| the tracking_number | |
| the ship_date fields under additional_fields object |
In case you need any further assistance, feel free to reach out to our support team.
Updated on: 20/03/2024
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