Your data, structured for every report,
footprint, and sustainability claim

No. Root is built for real-world data, which is typically incomplete, inconsistent, and spread across systems. You start with what you have, whether that is purchase orders, a bill of materials, or partial supplier data. Root structures what it can, calculates what is calculable, and flags what is missing. From there, it identifies which gaps have the largest impact on your numbers and actively guides you to fill them in order of priority. Your dataset improves continuously as your data does.

Most teams have a working dataset within a few weeks. The timeline depends on your catalogue size and data availability, not on manual calculation work on your side. Larger or more complex catalogues take longer to structure, but each step is guided, so the process does not stall on your end.

Root uses established LCA methodology based on ISO 14040 and ISO 14044 standards. Every data point carries a confidence level, and you can add documentation and notes wherever needed. You always see what is estimated versus what is based on primary data, and exactly why. Accuracy builds as your data builds. You are never left guessing where a number came from.

AI handles specific tasks that would otherwise be manual and error-prone. It flags missing data, guides material matching to verified emission factors by asking targeted questions and proposing the best available match, and identifies anomalies in your dataset. It also focuses your attention: surfacing the roughly 10 per cent of data points that typically drive 90 per cent of your impact, so your team works on what actually moves the needle.

Immediately. The minimum we need is purchase orders, sales orders, and a bill of materials for the products you want to measure. That BOM can be basic: even a single main material per product is enough to begin. Root can create proxies for similar products and start generating your dataset from day one. You do not need to clean or reformat your data before we begin.

That depends on one question: does your current tool give you a single dataset that powers every report, footprint, and sustainability claim you need, without rebuilding data for each one? If yes, Root is probably not for you. If you are still exporting data between tools, maintaining separate spreadsheets for different frameworks, or starting from scratch each time a new requirement appears, the switching cost is likely lower than the ongoing cost of your current setup. Most teams who move to Root do so because they have outgrown point solutions, not because Root is newer. We are happy to walk through your current setup in a demo and give you an honest assessment of whether it makes sense to switch.

Less than most teams expect. To get started, you need one person who can export your purchase orders, sales orders, and bills of materials. That is typically a sustainability manager or someone with access to your ERP or product management system. Root structures everything from there. You do not need to involve IT, procurement, or suppliers from day one. Most teams have a working dataset within a few weeks. The timeline dependson catalogue size and how readily available your data is, not on manual calculation work on your end. As your data improves over time, so do your results.