SIMILAR RECOMMENDATION
Applying Personalization On Product Discovery
Drive sales by showing the right products
Provide smart suggestions based on what shoppers like at every step
Users land on product pages from different paths from a category or on-site search, and even more often, off-site search like social media links, ads, etc. Yet, what they all have in common is that people choose to open this product page because the item they clicked on is very similar to what they want. By suggesting similar products to shoppers that they might also like, retailers offer a visual way to discover fashion, helping shoppers find what they’re looking for seamlessly and solving out-of-stock problems automatically.
VALUE OF SIMILAR RECOMMENDATIONS
HIGHER
CONVERSION RATES
REDUCE
BOUNCE RATE
GREATER VISIBILITY AND
ROTATION OF PRODUCTS
INCREASE ENGAGEMENT
AND LOYALTY
Customize a product suggestions
How does Similar Recommendation work?
The Wide Eyes' Similar Recommendation system provides the most similar products to the one the customer is viewing directly from the catalogue, taking into account the visual fashion related aspects of the product.
The Wide Eyes' system integrates a real-time filter functionality allowing retailers to personalize the results for every shopper (size, brand style, etc.) and also to adapt results to business rules (price range, campaigns, stock by country, area, store, etc.).
