RFPI template screenshot

RFPI Upload Guide


Request for Pricing & Information

The following instructions will help ensure that your valuable product data is correctly formatted for integration with RELATABLE technology.

If you need any additional support, do not hesitate to contact us at support@relatable.io

Understanding the RFPI Template

RFPI template files are xlsx spreadsheets providing column titles for organizing product data. These column titles are known within RELATABLE as Classifiers.

Classifier columns can have many different data types and rules, which are explained below.

General Rules

Refer to the following rules when completing your RFPI template and reach out to us at support@relatable.io if you need assistance.


Product Types as Sheets

Each sheet (or "tab") in your spreadsheet file corresponds with one Product Type. The name of the sheet is the name of the Product Type in the RELATABLE system.


Product Numbers

A Product Number (SKU) is required for every row.


Blank Cells

Blank cells may impact our ability to consider your products in our evaluation. Try to include values whenever possible.


Multiple Values per Classifier

If you wish to provide multiple values for a Classifier column (e.g. "Image Links"), duplicate the column and enter each new value in a new cell. A multi-value column can be duplicated as many times as needed.

Value Formatting

The first row of the RFPI template, beneath the column headers, provides value formatting examples for each data type.



If a number is requested (e.g. "Width (mm)"), input only a numeric response of the requested unit of measure.



All date values should be formatted as MM/DD/YYYY. (e.g. 02/24/18)



Do not include a preceding $ symbol for prices, input only a numeric response.



You may use the "hyperlink" feature in your spreadsheet software to title URL values. (e.g. Hyperlink Title)


Images / Files

When including an image, video, PDF or link, input a hosted URL (e.g. http://www.example.com/1234.jpg). You may use the hyperlinking method here as well.


True / False

If a column expects a boolean (i.e. "yes/no" or "true/false"), enter these values as true or false.