Doing innovation procurement requires specific knowledge and expertise. Luckily, many resources exist, including guidance, criteria sets and case studies, which can help you on your journey to purchasing innovative goods and services.
In addition, you can visit our 'Services and Expertise' page to find more information on specific projects, initiatives and other services which can support you to do innovation procurement in practice.
Artificial Intelligence (AI), one of the fastest-growing technologies in recent years, has the potential to play a mission-driven role in cities’ climate action plans. The AI4Cities project aims to harness this potential by bringing together leading European cities looking for energy and mobility solutions to reduce GHG emissions and support their climate action commitments towards carbon neutrality. Helsinki (Finland), Amsterdam (Netherlands), Copenhagen (Denmark), Paris region (France), Stavanger (Norway) and Tallinn (Estonia) are the six European cities and regions involved in this project. In AI4Cities, these six cities will go through a Pre-Commercial Procurement (PCP) process. PCP is an innovation procurement tool to stimulate market innovation as it enables the public sector to steer the development of new solutions directly towards its needs. In this context, the six cities will define the needs and requirements of the energy and mobility solutions to be developed, and challenge start-ups, SMEs and companies to design innovative solutions applying the use of AI and related enabling digital technologies, such as 5G, Internet of Things (IoT), cloud computing and big data applications. The AI4Cities project is divided into five main phases (0-4): one preparatory phase (0), three standard PCP phases (1 – solutions design, 2 – prototype phase, and 3 – prototype testing phase) and one final impact assessment and follow up phase (4). A group of follower cities will be recruited throughout the project to enhance the market uptake of the developed solutions.
Europe/EU, Denmark, Estonia, Finland, France, Netherlands, Norway
Based on the findings from the IMAILE project, which conducted a pre-commercial procurement of Personal Learning Environment software, the LEA project aims to develop a critical mass of European procurers demanding innovative learn tech solutions.
Benefit from experience and lessons learned from the ongoing SELECT for Cities Pre-Commercial Procurement Project to develop a data-driven, Internet-of-Everything (IoE) platform for large-scale urban co-creation
The FABULOS (Future Automated Bus Urban Level Operation Systems) project focuses on how cities can use automated buses in a systematic way. The goal is to procure the operations of an autonomous bus line.
Some specific functions that significantly improve traffic management are not yet available on the market. The CHARM PCP project (2012-2017) challenged the market to develop innovative traffic management functions for Rijkswaterstaat (Netherlands) and Highways England. External companies have developed six new prototypes for incident detection, network management and in-car systems.