Mining operations generate large volumes of production data; however, fragmented source systems, spreadsheet-based calculations and delayed material-movement capture can limit operational visibility and prolong reconciliation cycles. This paper presents the architecture, integration methodology and operational outcomes of implementing a Mine Operations Management (MOM) Material Tracking and Reconciliation solution at a large-scale, multi-commodity critical-minerals operation. The solution was implemented as an operational system of record connecting data sources not limited to such as from survey, resource models, tactical schedules through APIs/database interfaces/file-based interfaces. It consolidated shift-level mining, material-movement, stockpile and mill-feed data within a unified operational data model. The implementation covered more than 35 stockpiles and applied standardised business rules for movement validation, stockpile mass balancing and mass-weighted multi-commodity grade calculations. Automated controls identified missing movements/duplicate records/out-of-range values/material-balance exceptions, while traceable adjustment and approval workflows supported reconciliation governance. The reconciliation methodology calculated expected closing inventory from opening balances, receipts, transfers and consumption, with differences compared against (survey measurements/ source-system totals/approved production records). The solution was validated through parallel testing/historical-data replay/user-acceptance testing over 12 weeks using variance threshold as the acceptance criterion. The case study demonstrates how a governed operational data model, standardised reconciliation logic and integration with existing mine systems can improve the timeliness, consistency and traceability of Mine to Mill production information. It also establishes a reliable data foundation for future advanced analytics, while distinguishing those future capabilities from the functionality validated in the current implementation.