From the demonstration and interview with experts, we reached the conclusion that the proposed architecture of the logistics data space is suitable for participants in a real-world scenario to handle these three issues. The IDS Data Apps requested from a Connector Store and orchestrated by IDS Connectors can support data space participants solve data interoperability problems to a certain extent. The implementation of the data usage policy enforcement as accommodated by the proposed architecture also connects well with the need for a technically enforced trust for future ad-hoc data exchange. To further promote the value of realizing such a logistics data space, there is also a proposition resulting from the panel discussion to imbue the ecosystem with complementary customized brokering and consulting services. Based on these results, we argue that this EngD thesis has managed to (1) demonstrate the technical feasibility of developing the proposed IDS-compliant logistics data space brokered by a Connector Store to lower data interoperability, data sovereignty, and resource discovery issues, and (2) provide the lesson learned from the development and validation that can serve as a basis for the future related research endeavor.