HAVE QUESTIONS?
We are always here to answer them. Some frequent ones being...
GRYN calculates emissions with the help of third parties and presents them in a processed form.
No problem! Gryn can integrate with existing accounts and pull in data from those sources.
We offer monthly reports, allowing you to take actions on demand.
There are two options, first use the file upload via gryn.com. Just drag and drop your shipment data in Excel or CSV format, match your headers and your data will be uploaded and visible on the shipment page in gryn. Second option is through our API.
One file contains one sheet where the data starts in the first row with the headers. The naming of the headers is not superficial, because they will be matched later anyway. Each row describes one route of a particular cargo. For a different mode of transport (MoT) we need a separate file for now (we are working on a solution to import multiple MoTs at once).
Yes, we are more than open to connect to any Sustainability Management, Transport Management, BI solutions, or similar solutions. Via API we can also set up a live communication.
The Data Score helps to understand the density and quality of your own data or the data of your contacts. It provides information about the current status and potential for improvement.
The more precise your input data are, the higher the data score. The importance and quality of a given information is a crucial factor.
- Default data = industry average figures using standard assumptions of vehicle efficiency, load factor and empty running, may lead to results that over- or underestimate emissions compared with actual conditions
- Modelled Data = Models combine shipment data with information on vehicles and fleets in order to model fuel use and emissions, using available information on goods types, consignment sizes, journey origin, destination, intermediate handling locations, vehicles used, load factors, etc. Assumptions based on default data, rather than primary data, will lower the validity of the output
- Primary Data = good quality actual data of fuel use or emissions, used by transport or logistic site operators to calculate its Scope 1 carbon emissions, transport buyers should collect primary data from carriers for Scope 3 emissions accounting. Leads to most accurate emissions calculation