The Challenge: Disjointed Textile Factory Data
International garment export operations involve hundreds of simultaneous manufacturing stages: yarn procurement, fabric dyeing, cutting, stitching assembly lines, quality control audits, packing, and international container customs clearances.
The enterprise had previously relied on static spreadsheet trackers, leading to lost inventory visibility, inaccurate cost estimations, and delayed export shipments. They engaged NSolvers to build an all-in-one ERP that completely eliminated dummy mockups, ensuring that every button, status flag, and financial metric reflected live production databases.
Technical Architecture: Next.js 15 & Reusable React Query Hooks
We architected an atomic component system using Next.js 15, shadcn/ui, and TanStack React Query.
By creating a standardized hook layer for server data fetching and mutations, all 15 operational modules share cache invalidation strategies. When a batch of raw fabric is cleared by quality control on the factory floor, procurement, inventory, and cost ledger tables update simultaneously without requiring a page reload.
Key Systems Engineered
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15 Integrated Production Modules:
Yarn ordering, fabric knitting, cut plan generation, assembly line loading, and customs packing lists.
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Dynamic Analytics with Recharts:
Live interactive charts tracking scrap waste percentages, stitch operator efficiencies, and export profitability.
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Zero Fallback Mock Data:
Every table column, dropdown filter, and status pill is strictly mapped to live production endpoints.