


Reduced manual effort by over 90%
Significantly improved data accuracy
Saves hundreds of man-hours every month
Real-time visibility into productivity and machine efficiency
Eliminates calculation errors completely
Consolidated dashboards provide instant insights
Taparia is one of the largest tool manufacturing companies, operating multiple departments, shifts, machines, and a large workforce across its production units.
However, core operational tracking such as employee work hours, production quantities, and machine efficiency was handled manually using Excel sheets and paper-based records.
Supervisors and operators recorded data in spreadsheets, which were later compiled, verified, and recalculated by different teams before management could review performance or productivity.
Because the workflow relied heavily on manual processes:
The company needed a centralized digital platform to automate calculations, ensure accuracy, standardise workflows, and provide clear visibility into production performance.

We developed a comprehensive Production & Efficiency Management Platform using Next.js, Nest.js, and MSSQL, specifically designed for large-scale manufacturing operations.
With the new system:
Processes that previously required hours of manual effort are now completed within seconds, with complete accuracy and traceability.
The frontend, built with Next.js, is optimized to handle large volumes of daily production data smoothly.
The backend uses Nest.js with MSSQL, leveraging indexing, stored procedures, and optimized queries to ensure high performance even with complex calculations and large datasets.
The platform has brought clarity, speed, and reliability to Taparia's production and efficiency tracking workflow.
By digitizing Taparia's core manufacturing operations, we reduced manual effort by over 90% and significantly improved data accuracy and operational transparency.
The company now saves hundreds of man-hours every month, gains real-time visibility into employee productivity and machine efficiency, and maintains a single source of truth for all production data.
This project highlights how modern software solutions can transform traditional manufacturing processes, enabling data-driven decision-making and operational excellence.