What do you make?

Custom Bags & Hats for Growing Brands

From product ideas and 3D development to sampling and bulk production, RONGTE helps brands develop and manufacture custom bags and hats with flexible quantities and scalable production solutions.

3D Design Suppor

Turn your ideas into clear, realistic 3D product concepts before production. From sketches and reference products to new ideas, we help develop the structure, details, materials and overall appearance of custom bags and hats. This makes communication easier, reduces development time, and helps you confidently move from concept to sample.

Digg Digg

Flexible MOQ

Start small and test your product before committing to large production volumes. Our flexible MOQ options are ideal for startups, small brands, new collections and market testing. We help you launch new bags and hats with lower initial investment, then scale production as your business grows.

Forward Forward

Vietnam & Cambodia Production

We provide flexible manufacturing solutions in Southeast Asia, with production options in Vietnam and Cambodia. From small-batch development to larger-volume production, we help brands find the right manufacturing approach as their business grows, offering greater flexibility, competitive costs and reliable long-term production support.

RONGTE is a product development and manufacturing partner for custom bags and hats.

From product ideas and 3D development to sampling and bulk production, RONGTE helps brands develop and manufacture custom bags and hats with flexible quantities and scalable production solutions.

What our customers said

What impressed us most was their 3D design capability. We could discuss the structure and details before making the physical sample, which made communication much easier and helped reduce unnecessary sampling time

We were looking for a supplier who could work with smaller quantities while still offering good product development support. The TINDUC team was very responsive and helped us turn our ideas into production-ready samples much faster than expected