FBA Inventory Age Report
FBA Inventory Age Report can be used to request and retrieve tab-delimited flat file report. It indicates the age of inventory, which helps sellers take action to avoid paying the Long Term Storage Fee. Content updated daily. This report is only available to FBA sellers.
Read more about this end-point here
Select the account credentials which has access to relevant Amazon Seller Central data from the dropdown menu & Click Next
- Data Pipeline
Select FBA Inventory Age Report from the dropdown
- Dimensions and Metrics
Select the dimensions and metrics you would like to fetch from the Amazon Seller Performance platform. You can click on View Schema anytime to see the schema of the table being created.
|Each of the selected dimension / metric will create one or more columns in the database table in the destination warehouse.|
This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted.
Default Value: UPSERT
Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.
- Manual Run
If scheduling is not required, you can use the toggle to run the pipeline manually.
- Normal Scheduling
Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
- Advance Scheduling
Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.
Detailed explanation on scheduling of pipelines can be found here
- Dataset Name
Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
- Dataset Description
Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".
Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here
We’ll be happy to help you with any questions you might have! Send us an email at email@example.com.
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