Product
What product data matters most when we are just getting started?
Start with product identifiers, materials, weights and key product structure. More detailed data can improve results later, but the first step is consistent product records.
Start with product identifiers, materials, weights and key product structure. More detailed data can improve results later, but the first step is consistent product records.
Teams often assume they need a complete dataset before footprinting can start. In practice, the most important first step is to structure the product data that already exists.
Useful starting data usually includes product names, IDs, material composition, weights, product categories and relevant product configuration. More detailed supplier, process or transport data can be added later.
A product team has ERP exports and supplier spreadsheets but no single footprint-ready dataset.
Pickler helps structure product data into inputs that can support footprint calculations.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.
Easily manage products in bulk through API or spreadsheets.