Problem: Implementing PDF generation in Next.js proved difficult as standard implementations from documentation didn't work in the Next.js environment. The client needed to generate 50+ complex invoices daily, but initial attempts took 15-20 seconds per document, creating a significant bottleneck.

Solution: I developed a custom React-PDF implementation that reduced generation time to under 2 seconds per document—a 90% performance improvement. My solution processes batch PDF generation for up to 25 documents simultaneously, saving the client 45+ minutes daily. The modular PDF templates maintain perfect formatting consistency while supporting dynamic data injection, enabling the generation of 200+ documents per day with zero manual intervention.

Problem: The initial implementation struggled with all tables containing 5,000+ items, causing 8-10 second load times and UI freezing during sorting operations. This severely impacted daily operations as staff spent 30% of their time waiting for data to load.

Solution: Implemented TanStack Table with virtualization, reducing initial load time to under 800ms—a 92% improvement. Server-side pagination with intelligent prefetching now handles datasets of 50,000+ records while maintaining sub-second response times. The optimization eliminated UI freezing entirely and increased staff productivity by 35%, as reflected in the client's internal time-tracking metrics.