Flixstock leverages generative AI to help large fashion brands create high-quality fashion model images. This innovative solution provides a cost-effective alternative to expensive model photoshoots and generic stock images, serving clients globally.
Problem
- High cost and inconsistencies: High-quality on-model images are essential for driving online apparel sales, yet photoshoots are expensive, time-consuming, and often inconsistent.
- Accessibility challenges: Billion-dollar fashion e-tailers spend 1-1.5% of their revenue on photoshoots, but still struggle to showcase their entire catalog online. Small fashion retailers can’t afford such high quality photoshoots.
- Revenue impact: Apparel photoshoots and listings can take 1-4 weeks, causing delays that lead to lost revenue and opportunities for e-tailers.
Solution
- AI-powered image creation: Flixstock’s software generates apparel images on virtual models in any pose or style. It also provides AI-generated fashion models and virtual influencers, enabling brands to scale their content effortlessly.
- Efficiency and cost savings: The platform reduces image production time by 90% and costs by up to 80%. Retailers can also improve sales conversion rates through A/B testing of product images.
- Democratising content: Flixstock uses regular camera images to create high-quality, consistent on-model images, automating catalog creation for all retailers, including smaller players like Shopify sellers.
Media Links
Type
E-Commerce & Retail
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
1M to 5M
Operational HQ
Singapore
SECTOR
AI, Computer Vision, and Enterprise Data & Software
status
Current
founders
Harindar Keer
partnered
2019
exited
You may be interested in...
