Significant progress was made on enhancing the Lotta Supply data workspace. Key advancements include the development of a comparison harness and the integration of new engine sections for upstream transport and facility handling. These updates are foundational for more advanced analytical capabilities within the platform, allowing for more sophisticated comparisons and data processing.

Furthermore, the Framo input loader was successfully implemented, enabling the ingestion of crucial data related to upstream transactions and transport distances. This work is independent of our core AI processing, ensuring robust data foundational capabilities. These improvements streamline data integration and prepare the platform for more complex supply chain modeling scenarios.

In parallel, we updated our internal documentation to reflect our latest policies on managing deferred work. This ensures clearer guidelines for our development processes and promotes better organization of our project tasks, leading to more efficient workflows and transparent progress tracking for all teams involved.