Vendor Forecasting Report

DataChannel’s Vendor Forecasting Report pipeline can be used to request and retrieve forward looking mean, P70, P80, and P90 weekly customer demand forecasts. Data is reported at the ASIN level for the most recent weekly forecast generation date.

Only the most recent forecast data is available. Historical forecast data cannot be requested. The forecasting system produces forecasts for an ASIN at various P-levels, also known as confidence levels. If you are setting a forecasting P-level of .80 ("P80"), it means that there is an 80% probability customer demand will not exceed the weekly forecasted units.

Data availability : Refreshed forecasting data is available 72 hours after the week end (i.e. end of the day Tuesday).

Read more about the pipeline here

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Vendor 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 Vendor Forecasting Report from the dropdown

amazonvendorcentral vendor forecasting report list

Setting Parameters

Parameter Description Values

Selling Program


This refers to the selling program for the report.


Default Value: RETAIL

amazonvendorcentral vendor forecasting report config

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 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

Still have Questions?

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