Creating product carbon footprint requests

Register multiple supplier portal requests simultaneously to collect PCF data from suppliers. Complete this process as required.

Before you begin

Download the following CSV template and enter your company's data. Verify that all the required values are entered.

CSV template link: Envizi-SCI-request-PCF.csv
Important: If you use Microsoft Excel to edit the CSV file, verify the following:
  • The format for all the dates in the CSV is YYYY-MM-DD. If you do not use this format, your upload might fail.
  • The file is saved in the UTF-8 CSV file format. If you do not save your CSV file in the UTF-8 format, some special characters may be skipped or incorrectly interpreted during the data import process.

The following table outlines the required headers and associated information for preparing the CSV file. You have the flexibility to ignore recommended and optional values, as needed.

Table 1. PCF request CSV template headers
Column header Requirement Sample Description
Supplier ID Required Holloway Unique identifier for an organization.
Product ID Required HDL-8612 Unique identifier for the product.
Response due date Recommended 2025-06-15 Date that the requested response is due.

Required format: YYYY-MM-DD

Procedure

  1. From the side navigation menu, select Data management.
  2. On the Data management, select Import data.
  3. Click Add file and upload the Envizi-SCI-request-PCF.csv file.
  4. From the list of data mappings, select Supplier request - PCF (supplierRequestPcf).
  5. Optional: If your CSV file includes additional delimiters such as comma (,), colon (:), semicolon (;), or pipe (|), select the appropriate option from the Delimiter list to ensure the structured data is read correctly.
  6. Click Next and review the information.
  7. Click Import.
    The following message appears.

    New import job created Job {Job ID} has been successfully created.

  8. See the status of your import job on the Job Management page.
    Note: Depending on the size of the file, the import process might take some time to complete.

    If the status of your import job is Completed, then your data import job is successful.

    If the status of your import job shows CompletedWithErrors or Rejected,complete the following steps:
    1. Click the Job ID and check the errors in the Job details section.
    2. If errors are listed, then correct the highlighted errors in your CSV file and upload it again.
    3. If errors are not listed, then click Retry the import and check the status after a brief period.