Imagine a giant digital library that doesn't just store books, but actually reads and translates them for you in real-time. It helps city managers find the best ways to reuse materials and reduce waste by scanning thousands of documents across different languages. It's like having a smart assistant that turns messy data into a clear step-by-step guide for building a greener city.
Cities struggle to implement circular economy strategies because relevant data is unorganized, locked in different languages, and lacks a common classification system. This prevents municipal staff from moving beyond simple procurement to actual waste reduction.
A green digital public service and data platform. It integrates AI and NLP to analyze CE data using EU taxonomy and provides a scalable interface for city and SME users.
If you are a consultancy dealing with fragmented data across different EU countries — this project developed an AI-driven platform that uses NLP to break language barriers and summarize circular wisdom. This allows you to apply proven sustainability strategies from other cities to your local clients more quickly.
If you are a software provider dealing with the lack of common classifications for green data — this project developed a data platform using EU taxonomy and open linked data. You can integrate these standards to help municipalities plan and procure circular solutions at a larger volume.
If you are an agency dealing with incomplete city strategies for sustainable transition — this project developed a public service platform that enables staff to act more circular in day-to-day tasks. It provides the tools to move from simple procurement to rethinking and reducing material needs.
The Buyers Group is investing €5.64 million in R&D to tackle the challenges of the digital transition towards a Circular Economy.
The project involves 7 procurers from 7 countries, representing a combined population of 45 million citizens, including major capitals like Berlin, Helsinki, London, and Istanbul.
Based on available project data, the project uses a Pre-commercial Procurement (PCP) model, but specific licensing terms for the resulting ICT innovation are not detailed.
The solution uses Natural Language Processing (NLP) to remove language barriers, allowing users to access and understand distributed knowledge regardless of the native language.
The project period runs from 2023-01-01 to 2026-08-31.
The consortium is heavily weighted toward public sector entities, with 9 'Other' partners (mostly cities and local government associations) and only 2 industry partners. With 4 SMEs involved and a total of 12 partners across 9 countries, the group is designed for high market adoption rather than pure industrial production, leveraging the buying power of major European capitals.
Contact Empirica Gesellschaft fur Kommunikations und Technologieforschung mbH in Germany.
Contact us to find partners for the commercial rollout of this circular procurement platform.
