Case study
Inventory Content Management System
Inventory-driven business
Client problem
Inventory data was maintained across spreadsheets and inconsistent tools, making stock updates slow and error-prone.
Solution
We built a content management system for inventory with a clean admin workflow, consistent data structures, and easy day-to-day updates.
What we built
- Item/product catalog management
- Stock updates with audit-friendly history
- Category and attribute management
- Role-based admin controls
- Basic reporting views for operations
Key modules
- Catalog: items, categories, attributes
- Stock: in/out updates, thresholds
- Admin: role permissions, safe actions
- Search/filters: quick access for operators
- Reports: low-stock and summary views
How it was built
- Defined inventory entities and constraints first (Item, Category, StockMovement).
- Built an admin-first UI with fast search/filter and minimal clicks per action.
- Added validation rules to prevent negative stock or inconsistent updates.
- Designed screens as reusable modules so new inventory fields can be added safely.
Challenges
- Making updates safe and reversible (audit trail mindset).
- Keeping the UI fast for operators while maintaining validation rules.
- Preventing data drift when fields evolve over time.
Quality & release
- Guardrails on write actions (validation and permissions).
- Manual QA for stock update flows and role restrictions.
- Release checklist to protect day-to-day operations.
Architecture
- Admin-focused application built around inventory workflows.
- Clear separation between UI, validation, and data updates.
- Data model designed to track stock changes over time.
Key decisions
- Audit trail approach for stock movements instead of overwriting values blindly.
- Search-first UX to reduce operator time.
- Reusable modules for catalog and stock screens to keep changes predictable.
Scalability considerations
- Supports catalog growth with index-friendly queries.
- Ready for multi-warehouse or multi-location extensions.
- Designed for incremental additions (import/export, barcodes, integrations).
Outcome
- Faster stock updates
- Cleaner catalog management
- Reduced operational errors
Screenshots
Tech stack
Next.jsTypeScriptNode.jsDatabase
Stack rationale
- TypeScript for stability as the data model grows.
- A structured backend layer to keep inventory rules in one place.
- Database constraints to protect stock integrity.