Initially set out in the 2025 United Kingdom Border Strategy, the Ecosystem of Trust1 (EoT) proposed a collaborative model for managing the border, involving government, border users and technology firms. The ambition was to use technological and enhanced data solutions to enhance trust within the supply chain, and by government, with the aim of minimising trade frictions. The project tested whether the use of supply chain data, alongside technologies such as smart seals and smart containers, could be integrated into United Kingdom border processes. These solutions were tested via pilots and involved both industry and government participants.
The United Kingdom government partnered with six “consortia” to test a variety of proposals which involved sharing supply chain information between trade and government using a different supply chain data platform, and a wider set of technology across a variety of transport modes, commodities and routes, with the intention of understanding the feasibility of solutions across these variables. The pilots highlighted that up to 80% of the minimum risk requirements for Customs purposes and 60% of trade statistics requirements could be provided by supply chain data. This could improve confidence of government border agencies teams in making decisions, and potentially reduce the time taken border staff to make these decisions by nearly 20%.
The EoT August 2023 Evaluation Report delivered three key recommendations:
Collaboration between government and industry is essential for driving innovation at the border.
Interoperability proved to be the greatest challenge identified by the pilots and the biggest barrier to scaling an EoT model. Integrating industry data as it is held and managed at present into government systems at scale proved to be challenging.
Maximising value to trade is central to incentivising the adoption of technologies and the sharing of data which can provide further assurance to government – whether that is platforms for managing digital supply chain data, or augmenting technologies.