Carbon Footprint Inventory. Deep dive

Product workflow and usability.

Every company has bookkeeping for money. Bardo is bookkeeping for carbon. Here is what that looks like, step by step.

This is a simplified overview of the product workflow. For a detailed walkthrough of each step, the controls behind it, and how it fits your team's setup, book a session with one of our quality assurance specialists.

How it works

01

You upload your invoices

Drop your invoices into our secure dataroom. PDFs, ERP exports, utility bills. You don't need to learn new software or change how you work. Just share what you already have.

02

Our AI reads every line

Our AI extracts every relevant detail from each invoice. Supplier, product, quantity, unit, route. It reads thousands of documents in the time it takes to read this paragraph.

03

Bardo gathers the documentation

For every purchased product or service, our AI finds the best available environmental documentation. Life cycle assessments, environmental product declarations, product specifications, supplier data.

04

Our AI calculates the emissions

Based on what it found, our AI sets or calculates the carbon footprint for each product and service. The more specific the source, the more accurate the number. Every calculation is documented and traceable.

05

Humans make sure the AI gets it right

Our team of specialists reviews the AI's work. They catch edge cases, correct uncertainties, and feed those corrections back into the system. Our AI learns from every review, getting more accurate over time.

06

A complete carbon footprint inventory

The result is a full carbon footprint inventory with every invoice and emission correctly categorized. For every product or service, you can follow the trail: from the original invoice, through the calculation, to the final emission number.

07

Simple analytics, no data analyst required

Explore your emissions across years, subsidiaries, suppliers, and categories. Compare, filter, and find reduction opportunities in a dashboard built for decision-makers, not data scientists.