
The Dried Mango Management System is a custom Manufacturing Execution System (MES) designed to streamline and monitor the complete dried mango production process. The platform provides end-to-end visibility across raw material receiving, cold storage, ripening, sorting, oven processing, bagging, packing, inventory management, and dispatch operations. With real-time production tracking, batch traceability, workforce monitoring, and operational analytics, the system helps manufacturers improve efficiency, maintain quality standards, reduce losses, and make data-driven decisions through a centralized and user-friendly dashboard.

The Dried Mango Management System is a comprehensive Manufacturing Execution System (MES) designed to streamline, monitor, and optimize the entire dried mango production lifecycle. The platform provides end-to-end traceability, enabling manufacturers to track operations from raw material procurement and unloading through processing, packing, billing, and final dispatch. It manages every stage of production, including washing, sorting, cold storage, ripening, peeling, oven processing, product classification (strips and cheeks), bagging, packing, rework handling, broker supply management, expense tracking, and billing operations. By capturing and monitoring data in real time, the system ensures accurate production tracking, inventory visibility, quality control, and operational efficiency. Advanced dashboards, analytics, and reporting tools provide actionable insights into production performance, yield, losses, and resource utilization, empowering management teams to make informed decisions. Built with an intuitive and user-friendly interface, the platform delivers seamless workflows, enhanced process transparency, and comprehensive visibility across the entire manufacturing operation.
Industry
Fruit Processing & Packaging Industry
Project Type
Factory Operations Management System
Platforms
Web Application
Business Type
B2B
Duration
6M
Region
USA
Figma
GitHub
AWS
Mysql
Laravel
React
Redux
Amazon S3
HTML
CSS
Bootstrap
Figma
GitHub
AWS
Mysql
Laravel
React
Redux
Amazon S3
HTML
CSS
Bootstrap Managing multiple production stages including unloading, cold storage, ripening, sorting, oven processing, bagging, packing, and dispatch within a single system can become operationally complex.
Developed a unified MES platform that tracks and manages every production stage through a streamlined workflow, providing complete operational visibility from raw material receipt to final dispatch.
Monitoring processing stages manually often leads to delays, errors, and lack of visibility into production progress.
Implemented automated status tracking where oven processing cycles are monitored continuously and batch statuses are updated automatically once processing durations are completed.
Tracking material movement and maintaining visibility throughout the production lifecycle is challenging in large-scale operations.
Built a comprehensive traceability system that records and tracks every batch from unloading and ripening through sorting, packing, and dispatch.
Measuring workforce productivity across sorting, bagging, and packing operations without disrupting daily processes can be difficult.
Implemented employee-wise performance monitoring and operational reporting to provide management with productivity insights and operational transparency.
Generating meaningful production insights across different time periods requires efficient data aggregation and visualization.
Developed dynamic dashboards with custom date-range filtering, allowing users to analyze production, efficiency, and operational performance through real-time reports and visual analytics.
Handling raw material procurement from multiple brokers while maintaining accurate records and traceability can become difficult over time.
Created a dedicated module for managing broker and supplier records, material receipts, batch details, and transaction history in a single location.
Factory management systems often become complicated due to large amounts of operational data and multiple user workflows.
Designed a clean, responsive, and user-friendly interface with workflow-focused screens, visual indicators, and simplified navigation for efficient daily operations.
Identifying process inefficiencies and production losses in real time is essential for operational improvement.
Implemented production monitoring dashboards with efficiency metrics, operational KPIs, and loss tracking to support data-driven decision-making.
Managing multiple production stages including unloading, cold storage, ripening, sorting, oven processing, bagging, packing, and dispatch within a single system can become operationally complex.
Monitoring processing stages manually often leads to delays, errors, and lack of visibility into production progress.
Tracking material movement and maintaining visibility throughout the production lifecycle is challenging in large-scale operations.
Measuring workforce productivity across sorting, bagging, and packing operations without disrupting daily processes can be difficult.
Generating meaningful production insights across different time periods requires efficient data aggregation and visualization.
Handling raw material procurement from multiple brokers while maintaining accurate records and traceability can become difficult over time.
Factory management systems often become complicated due to large amounts of operational data and multiple user workflows.
Identifying process inefficiencies and production losses in real time is essential for operational improvement.
Developed a unified MES platform that tracks and manages every production stage through a streamlined workflow, providing complete operational visibility from raw material receipt to final dispatch.
Implemented automated status tracking where oven processing cycles are monitored continuously and batch statuses are updated automatically once processing durations are completed.
Built a comprehensive traceability system that records and tracks every batch from unloading and ripening through sorting, packing, and dispatch.
Implemented employee-wise performance monitoring and operational reporting to provide management with productivity insights and operational transparency.
Developed dynamic dashboards with custom date-range filtering, allowing users to analyze production, efficiency, and operational performance through real-time reports and visual analytics.
Created a dedicated module for managing broker and supplier records, material receipts, batch details, and transaction history in a single location.
Designed a clean, responsive, and user-friendly interface with workflow-focused screens, visual indicators, and simplified navigation for efficient daily operations.
Implemented production monitoring dashboards with efficiency metrics, operational KPIs, and loss tracking to support data-driven decision-making.
Digitized the complete dried mango production lifecycle, enabling seamless tracking from raw material receiving and unloading to final packing and dispatch through a centralized platform.
Improved operational visibility with real-time monitoring of cold storage, ripening, sorting, oven processing, bagging, and packing activities across all production stages.
Automated production status updates by implementing smart oven cycle tracking, reducing manual intervention and ensuring accurate batch progression.
Enhanced inventory control and batch traceability, allowing management to track material movement, production history, and finished goods with complete transparency.
Reduced manual record-keeping and paperwork by centralizing production, inventory, workforce, and supplier management into a single digital system.
Improved workforce accountability and productivity through employee-wise activity tracking across sorting, processing, bagging, and packing operations.
Strengthened supplier and broker management with detailed material intake records, transaction histories, and procurement insights for better operational planning.
Enabled data-driven decision making through interactive dashboards, operational KPIs, real-time production metrics, and custom date-range analytics.
