– EandoX demonstrates exactly how AI with our meticulous LCA methodology can transform sustainability work without compromising quality. We replace 80 hours of manual, error-prone data collection with just 2 hours of streamlined automation, says Daniel Olausson, Chief Product Officer at BIMobject.
EandoX recently had the privilege of collaborating closely with a top Scandinavian manufacturer specializing in sanitation. This company is driven by stringent sustainability requirements and a strong desire to take control of their product sustainability data — all while meeting environmental compliance efficiently.
EandoX Copilot in Action: Real Results, Less Time, More Efficiency
Previously, the company manually extracted data from their ERP system, Microsoft Dynamics, and carefully integrated it into their workflows. Manually copying hundreds of rows of data required extensive hands-on effort, was prone to mistakes, and took numerous hours
– The structure from the EPR system is not designed to be human-readable. This means that multiple relationships exist between different elements to define a single product structure. Rebuilding these relationships and restructuring the product data required a huge amount of manual work, says Daniel Olausson.
Automating Complex Product Data with AI
We integrated data extracted from their ERP system and applied EandoX’s AI-powered features to transform sprawling product and supplier data into well structured data. Thanks to the Copilot information — whether product data, supplier documents, or complex material compositions —was rapidly organized and structured, far faster than traditional manual methods.

With EandoX, the same data is processed through AI-driven automation. Instead of manual intervention, the system cuts the task down dramatically in time while boosting accuracy and efficiency.
The Result: Achieving 97.5% Time Savings with More Accurate Sustainability Data
What once took hours of copying and error-prone manual work was completed smoothly and accurately in a fraction of the time.
- This is a perfect example of how EandoX supports the shift from manual, time-consuming processes — like 80 hours of data collection — to efficient AI-driven automation that takes just 2 hours, says Daniel Olausson, Chief Product Officer at BIMobject
Key Takeaways
Time Efficiency: The time saved exceeded expectations, from 80 hours of manual work to 2.
Accuracy: Manual, error-prone processes were replaced with smooth automation.
Competitive Edge: EandoX offers clear advantages over other well-known tools.
To make accurate decisions—financial or environmental—you need accurate data.
Just as a weak ERP system creates inefficiencies and errors, poor sustainability data management holds companies back. Yet many still struggle with fragmented, outdated processes.
EandoX’s AI functionality, developed by renowned and highly experienced LCA experts, is designed specifically to handle complex sustainability data — making the shift to efficient, accurate, and actionable insights possible.
A key focus for us is the role of AI in shaping the future of EPDs. By integrating AI into our software, we streamline data workflows, optimize LCA methodologies, and simplify complexity for both manufacturers and verifiers. This not only makes environmental data more accurate and regulation-ready but also faster and easier to use in real-world projects—something this case study clearly demonstrates.
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