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

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Seller Central data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

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.

Setting Parameters

Parameter Description Values

Insert Mode

Optional

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.

Upsert, Append

Default Value: UPSERT

Datapipeline Scheduling

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

Dataset Name

Key in the Dataset Name(also serves as the table name in your data destination).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.

Notifications

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

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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