Overview
This article guides users through the Use and Processing of Sold Products module's data collection process. It covers what data to gather depending on your module type (Lightweight or Advanced) and product category (Final product, Intermediate product, Component, or Digital), how to upload it via bulk import, and how to avoid common formatting mistakes.
Key benefits / use cases
Accurately calculate the emissions generated by your sold products over their lifetime (Scope 3.11)
Understand which fields are mandatory depending on your product type and module version
Upload data efficiently using Greenly's bulk import template
Submit data for analyst review with full traceability and auditability
1. What data should be included in your data collection file?
The Use and Processing of Sold Products module calculates the impact of your company's sold products during their use and processing phase, over their full lifetime. The temporal scope of the study is the financial year of your GHG report.
⚠️ Data provided must be in French 🇫🇷 or English 🇬🇧 to be processed by Greenly.
You can find the data collection file by clicking on the module > Tab "2. Data collection">"Bulk import - via template".
The data collection file contains two types of data:
Mandatory data: The minimum required to compute CO2e emissions. Without it, no emissions can be calculated.
Optional data: Additional data that improves the quality and granularity of the analysis.
Products concerned
The products covered by this module can vary and include, but are not limited to, electronic devices, vehicles, clothing, and other consumer goods that consume energy (electricity, fuel, gasoline) during their use.
Lightweight module — Mandatory fields
Total energy consumed by your sold products over their lifetime, in the correct unit
Advanced module — Mandatory fields by product type
Final product (sold or leased out)
Product name
Whether the product is sold or leased out
Type and unit of energy consumed
Annual energy consumption
Product lifespan
Sales quantity / leasing days
Intermediate productProduct name
Quantity processed
Weight unit
Type, unit, and consumption of energy used during processing
ComponentProduct name
Sales quantity
Lifespan of the end product
Allocation ratio
Type, unit, and consumption of energy used by the final product
Digital productProduct name
Number of users
Annual hours of use per user
Note: This module does not take into account the end-of-life treatment of sold products, which is assessed in a separate module titled "End-of-life treatment of Sold Products.
2. How to upload your data to the Greenly platform?
To upload your data, click on the corresponding task on the Progress page, or navigate to Data > Data Collection > Use of Sold Products.
Data must be imported using Greenly's template. Click "Bulk import" to download it. The template downloads in your platform language. Fill the English template with English data and the French template with French data. You can download the other language version from the READ ME tab of the template.
Import your file in the "Upload file" section. You can also attach supporting documents for traceability and auditability in the**"File Information (optional)"** section.Once uploaded, click "Submit for analysis". A Greenly analyst will review the data and complete the module.
If you do not have the necessary information to complete this module, click "Skip" at the top right of the page.
3. Frequent errors in data format
Lightweight module:- Make sure the quantity matches the unit of the emission factor Advanced module:
Ensure all units are correct and that all cells that are not greyed out are filled in
4. Review your data and read your results
Once you have uploaded your data, you can flag expenses related to this module to avoid double counting and access your results. Read the related article: Review your data and check double counting.
The Results page offers a clear and detailed view of the emissions from the use of sold products, ranging from household appliances to industrial equipment. You will be able to filter by product category and usage type.