Nexans autoelectric is a global company with over 14,000 employees on four continents. It is a leader in the development of wiring systems and drive cabling for electrically and conventionally powered vehicles as well as components for assistance systems. Renowned automobile manufacturers such as Audi, BMW and Daimler are among the customers of the globally active group of companies. As part of a comprehensive sustainability strategy, Nexans autoelectric is pursuing, among other things, the goal of understanding the influence of materials and supply chains on the CO₂ balance in order to introduce targeted reduction measures.

The high volume of goods acquired poses a major challenge in Scope 3

In 2018, the automotive manufacturer started to prepare a group-wide carbon accountung using Excel. In addition to Scope 1 & 2, some categories in Scope 3 were already taken into account. However, the recording of further categories proved to be challenging and labor-intensive due to the extensive data volume of several tens of thousands of tons of purchased goods.

With the help of the Tanso import assistant, over 100,000 data points can be automatically captured and processed

Nexans autoelectric was interested in a solution that would make it easier to identify and efficiently process the relevant data within the company, as well as simplify laborious steps through automated and digital processes. This is where the Tanso software came into play, which can directly process over 100,000 lines with its import assistant. In the process, the assignments of the corresponding emission factors are saved so that only minimal manual effort is required the next time data is imported.

Within five weeks, several tens of thousands of tons of purchasing volume were recorded and reduction potential identified

The software designed for high data volumes and the pragmatic approach of the Tanso team made it possible to successfully analyze the entire pur-chasing volume - and thus several tens of thousands of tons - within five weeks. This analysis at product level laid the foundation for identifying focus areas for detailed data collection using primary data. It also identified initial potential for reducing carbon emissions that could be realized through the use of secondary materials.

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