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Data mapping introduction
Daan van Hal avatar
Written by Daan van Hal
Updated over a week ago

What is Data Mapping in Pickler?

Data mapping in Pickler is the key process that turns your product data —such as materials, production methods — into valuable environmental insights.

When you input product data, they don’t yet have any environmental context. That's why think information needs to be linked, or mapped so Pickler can accurately calculate the impact of your packaging and generate impact reports.

For example, when you input a material like "Bio Polyethylene," Pickler needs to know the specific environmental implications of that material.

What Do You Map Your Data To?

  1. IDEMAT LCI Database: Your materials and processes are mapped to IDEMAT, a comprehensive environmental database from TU Delft. This provides real-world data on carbon footprint, energy consumption, and resource use, ensuring scientifically backed and ISO-compliant impact calculations.

  2. Google Locations: You also map your location data to our Google API, using coordinates to calculate transport distances and predict energy consumption based on the mode of transport. The corresponding energy mix is sourced from IDEMAT, making the impact calculation complete from material sourcing to product delivery.

Getting started

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