Month: 2025-09 — Focused on delivering a self-contained Monthly Expenses Management module within Santa-TeresaERP/ST-frontend. Implemented UI and data-layer changes to enable monthly expense tracking and reporting, integrated into the finance report view.

Month: 2025-08 — Delivered foundational and feature-rich work across backend and frontend, focusing on financial operations, stock accuracy, and modular integration. Backend delivered the Financial Management Module (services and controllers) for managing financial reports, general income, and general expenses with aggregation logic and data integrity rules; introduced retroactive stock adjustment for recipe management to ensure warehouse quantities reflect historical production; standardized router exports in the overhead module to simplify cross-module imports. Frontend delivered a solid financial tracking foundation with Finanzas hooks, types, actions, and schemas to support financial reports, incomes, and expenses; completed Monastery Overhead Expenses CRUD with API actions, React Query hooks, validation schemas, UI modals, and improved list/filtering. Overall, these efforts improve financial visibility, stock accuracy, and developer productivity by enabling safer data flows and easier module integration.

July 2025 Monthly Summary for Santa-TeresaERP. Focused on delivering business value through customer-facing UI improvements, a robust inventory system, and reliable backend groundwork to support growth. Highlights include frontend enhancements for plant status visibility, product image uploads, a complete inventory CRUD experience with modern data handling, a backend fix for static image serving, and transactional inventory movement logic plus groundwork for financial reporting.

June 2025 Monthly Summary for Santa-TeresaERP development focused on aligning data models with sales and procurement workflows, and delivering end-to-end visibility for inventory and purchasing. Backend and frontend changes were coordinated to improve data integrity, reporting readiness, and overall efficiency across the stack.