Manufacture & Logistics System
Manufacturing and logistics platform with intelligent workflow automation, real-time performance analytics, and complete work order management including granular budget control and workforce allocation.
About this project
Manufacturing and Logistics Control System is an integrated web platform that centralizes the management of service orders (SOs) across manufacturing and logistics operations. Built on Next.js with Supabase as its data and authentication backbone, the system combines server-side rendering, real-time database subscriptions, and native analytics dashboards into a seamless ecosystem that connects operational execution with strategic decision-making.
The platform provides managers with granular control over resource allocation and financial tracking. Through dedicated dashboards, they can monitor available work hours for each service order, track client requests, oversee team assignments, and calculate real costs based on employee shift rates and time entries. Cost aggregations run directly in Postgres, so figures stay consistent as entries are logged, preventing budget overruns and ensuring efficient resource distribution across multiple concurrent projects.
Employees interact with the system through a simplified, role-based interface designed exclusively for daily activity logging. Row-Level Security policies enforce this separation at the database level, guaranteeing data integrity while streamlining the user experience. Workers can quickly register their tasks without accessing administrative functions or sensitive operational data. The system automatically captures time entries and associates them with the correct service orders and cost calculations.
The analytics layer delivers actionable insights through detailed reports covering daily employee utilization rates, active client portfolios, open service order volumes, and early warnings for SOs approaching hour limits. Automated routines evaluate these thresholds and surface alerts as they occur, empowering leadership to identify bottlenecks, optimize workforce allocation, and maintain proactive communication with clients about project status and resource requirements.