ChinaConsumer goods2025 – ongoingAnta Sports
Linglong AI footwear and apparel design model
Anta reported 80% shorter cycles for extending successful products with its Linglong design model
Problem
Anta's design teams needed to turn market demand into concepts consistent with their brands. Projects previously took about 3 months from initiation to design selection.
Approach
Anta developed Linglong using its proprietary design data. Internal teams entered product requirements and earlier design materials to generate concepts. The model supported text-to-image generation and generation from line drawings.
Results
Takeaway
The reported gains concerned concept exploration and extensions of successful products. They did not establish shorter manufacturing lead times.
Categories
- Size
- Large enterprise
- Industry
- Consumer goods
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Anta's consortium republished a Songguo Finance report describing internal use of Linglong. It reported 400% higher idea exploration efficiency and an 80% shorter cycle for extending successful products.
Full details are in the original sources.
