Cutting Room Explorer established its first complete product path around local XLSX exports from cutting machines. A FastAPI backend prepares the records with pandas and openpyxl, while a React and TypeScript frontend turns the resulting data into an interactive operational view.
The Explorer supports selectable workbooks, production dates, and either a single day or an inclusive date range. Within that scope, it presents production KPIs, hourly activity, top markers, machine and marker summaries, and analytical signals.
Shared filters connect marker, machine, hour, pattern category, and production family across the interface. Charts and tables participate in the same investigation rather than remaining disconnected static reports, and the underlying production data stays local.
This milestone shifted the active direction away from a simulator-first concept and toward manufacturing evidence and investigation. It created the end-to-end XLSX-to-FastAPI-to-React foundation for the repository’s primary product surface while deliberately reporting recorded activity and workload rather than claiming true utilization or OEE.