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Fashion retail's conversion hurdles
Lack new shopper data
68%* of visitors are newcomers
- Directly from social media platforms and paid search ads (such as on Instagram)
- Insufficient data to inform personalized conversion strategies
Lack product sales data
55%** of stock on average has no sales record
- Thousands of SKUs in stock, with dozens of new SKUs added weekly
- Lack historical data to fuel accurate personalization
Low on-site conversion rates
*Source: Frictionless Commerce **Source: AfterShip internal data
Hyper-personalization powered by product intelligence
AfterShip Personalization uncovers deep product associations and reveals hidden shopper interests, even with limited shopper behavior data and site interactions.
Using session-based methods, over 500 million transactional data points, and a library of 10K+ product attributes, AfterShip Personalization translates behaviors into product attributes and leverages Large Multimodal Models (LMMs) to predict shopper interests.
No order history or additional AI model training is required.
Elevate fashion journey to a new level of personalization
Match shoppers’ inspiration
Empower shoppers to upload inspirational images for a seamless search experience, delivering highly relevant results.
Use case
Enable shoppers to use images as search queries. Advanced image analysis, computer vision, and product attribute tagging generate relevant results for an enhanced search experience.
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