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Fashion
Redefine fashion discovery for a 20% conversion lift
Deploy AfterShip's cutting-edge product intelligence to improve product discoverability and curate a hyper-personalized CX.
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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
- Inspiration
- Exploration
- Recommendation
- Retention
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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Locate what shoppers are searching for
Display personalized search results on the collection page. Boost conversions by helping shoppers easily discover their favorite fashion items.
Use cases
Use "Trending" or "New Arrivals" algorithms to prioritize items you wish to promote.
Tailor sorting of browsing results based on the customer's traffic source, such as social media platforms or marketing campaigns. For instance, shoppers coming from Facebook may see lower-priced items, while those from Instagram might be presented with trendier, higher-priced products.
Offer shoppers filtering options by utilizing AI to extract and enrich product tags--making it easier to find their desired items.
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Recommend best fits to shoppers
Adopt advanced algorithms tailored for the fashion industry, delivering a hyper-personalized shopping journey that drives impressive results.
Use cases
Use the “Similar Product” algorithm to recommend items with a similar style to products shoppers have viewed.
Employ the “Complementary Products” algorithm to suggest items that align with the style of a shopper’s current selection.
Apply AfterShip’s “NextLLM” algorithm to provide real-time recommendations based on product tags and shopper behavior from the first click.
Automatically generate bundle suggestions on the product details page, allowing shoppers to add multiple items to their cart, using algorithms like “Frequently Bought Together” or “NextLLM.”
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Recapture shoppers' attention using personalization
Utilize multiple touchpoints after purchase to offer personalized product recommendations to recover lost sales, enhance revenue, and boost retention.
Use cases
Through integration with Attentive or Klaviyo, you can deploy personalized product recommendations and varied merchandising strategies based on shopper behaviors. For example, follow-up emails can remind shoppers of abandoned carts or incomplete checkouts, bringing them back to complete their purchase.
With enhanced integration with AfterShip Tracking, you are able to feature personalized product recommendations, showing only the most relevant items to the targeted customers. As soon as orders are placed, incorporate targeted product recommendations into notification emails to drive incremental sales.
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Inspiration
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.
Exploration
Locate what shoppers are searching for
Display personalized search results on the collection page. Boost conversions by helping shoppers easily discover their favorite fashion items.
Use cases
Use "Trending" or "New Arrivals" algorithms to prioritize items you wish to promote.
Tailor sorting of browsing results based on the customer's traffic source, such as social media platforms or marketing campaigns. For instance, shoppers coming from Facebook may see lower-priced items, while those from Instagram might be presented with trendier, higher-priced products.
Offer shoppers filtering options by utilizing AI to extract and enrich product tags--making it easier to find their desired items.
Recommendation
Recommend best fits to shoppers
Adopt advanced algorithms tailored for the fashion industry, delivering a hyper-personalized shopping journey that drives impressive results.
Use cases
Use the “Similar Product” algorithm to recommend items with a similar style to products shoppers have viewed.
Employ the “Complementary Products” algorithm to suggest items that align with the style of a shopper’s current selection.
Apply AfterShip’s “NextLLM” algorithm to provide real-time recommendations based on product tags and shopper behavior from the first click.
Automatically generate bundle suggestions on the product details page, allowing shoppers to add multiple items to their cart, using algorithms like “Frequently Bought Together” or “NextLLM.”
Retention
Recapture shoppers' attention using personalization
Utilize multiple touchpoints after purchase to offer personalized product recommendations to recover lost sales, enhance revenue, and boost retention.
Use cases
Through integration with Attentive or Klaviyo, you can deploy personalized product recommendations and varied merchandising strategies based on shopper behaviors. For example, follow-up emails can remind shoppers of abandoned carts or incomplete checkouts, bringing them back to complete their purchase.
With enhanced integration with AfterShip Tracking, you are able to feature personalized product recommendations, showing only the most relevant items to the targeted customers. As soon as orders are placed, incorporate targeted product recommendations into notification emails to drive incremental sales.
What customers are raving about AfterShip Personalization
“Most personalization tools are focused solely on checkout; AfterShip was able to provide the end-to-end personalized shopping experience we were looking for.”
Dexter Da Silva
Director of Digital Products
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“After implementing personalized product recommendations, we see a 4.3% increase in upsell revenue across the entire site by AfterShip Personalization. 74% of personalization revenues actually come from product detail pages.”
Matthew Stuckings
CRM & Data Manager
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Get started in just 30 minutes
Connect with our team to discover how AfterShip’s AI-enhanced personalization can unveil higher conversion success.
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