Photon AI has designed six core functional modules specifically for apparel e-commerce:
- AI for Models: By uploading clothing pictures to automatically generate virtual models to try on the effect, support the adjustment of body type, skin color and other parameters, completely get rid of the cost of physical models.
- AI change background: Built-in library of scenes such as Paris street, café, etc., one-click to change the background of the product map, especially suitable for cross-border e-commerce to create a regionalized vision.
- AI retouching engine: Self-developed photonic rendering technology can automatically optimize the three elements of light and shadow/folds/color, so that affordable clothing presents high-end texture.
- Motion Video Generation: Generate short videos such as model walks in 15 seconds, perfectly adapted to the vertical video needs of social media such as TikTok.
- Batch processing system: Supports nightly queue processing of 100 images to meet the demand for massive uploads during big promotions such as Double 11.
- cross-platform synchronization: The generated results can be directly pushed to Taobao/Shopify and other 8 major e-commerce platforms to avoid duplicate upload operations.
All the functions are designed around "cost reduction and efficiency", and have been tested to reduce the production cost of merchandise charts by 90%, and shorten the shelf cycle from 3 days to 3 minutes.
This answer comes from the articlePhoton AI: A smart tool for e-commerce companies to quickly generate apparel merchandise mapsThe
May not be reproduced without permission:AI productivity tools " What core functionality can Photon AI provide to apparel e-commerce?
