Personalize All Path-to-Purchase Fashion Commerce Touchpoints
Drive loyalty and growth with best-of-breed fashion personalization
Talk to a Personalization Expert Now
Trusted by Major Fashion Retailers










Why our customers love us
“Traditional personalisation strategies - customer segments, popular items and past purchases - don’t work for our business. We needed true individualisation, and [Algonomy] was the answer.“

Jussi Koskinen,

“The Value of Shopping baskets resulting from product recommendations has increased by an average of 20%, with an average of one more product purchased by each customer“

Andreas Augustine,

Recognized by industry experts


Retailers we work with have realized benefits across all commerce KPIs
20 – 30%
higher revenue per visitor
25% – 32%
increase in Conversion
19%
Uplift in sales
11%
increase in Average Order Value

Deliver 1:1 Personalization at Every Customer Touchpoint

Make Relevant Product Recommendations Every Time
Deliver contextually relevant product recommendations to both new and returning shoppers with a decisioning engine that picks the best recommendation strategy for each individual and their current context.

Help Shoppers Search Less and Find More
Searching is not the same as finding. Use self-learning search to display the most relevant products in your catalog upfront, increasing customer satisfaction and revenue with every query.

Improve Loyalty with Personalized Content & Offers
Use ML algorithms to study redemption rates, co-purchases, popularity, replenishment, and other factors to determine the best content and offers to present to a shopper. Say no to tedious manual A/B tests.

Make Product Discovery Seamless with Personalized Category Pages
Drive greater engagement and conversions by re-sorting the product display and category pages in real time, instantly matching a shopper’s preferences as they browse.

Enable Merchandising and Business Controls
Use advanced merchandising and brand controls to align personalization with specific business goals — engagement, conversion, active promotions, basket size, or margin management.

And much more…


Deliver 1:1 Personalization at Every Customer Touchpoint
Deliver contextually relevant product recommendations to both new and returning shoppers with a decisioning engine that picks the best recommendation strategy for each individual and their current context.
Searching is not the same as finding. Use self-learning search to display the most relevant products in your catalog upfront, increasing customer satisfaction and revenue with every query.
Use ML algorithms to study redemption rates, co-purchases, popularity, replenishment, and other factors to determine the best content and offers to present to a shopper. Say no to tedious manual A/B tests.
Drive greater engagement and conversions by re-sorting the product display and category pages in real time, instantly matching a shopper's preferences as they browse.
Use advanced merchandising and brand controls to align personalization with specific business goals — engagement, conversion, active promotions, basket size, or margin management.
Algonomy’s goal is to help you drive considerably higher growth than the industry average with personalization techniques tailored to meet your current needs and goals. Speak to our experts to find out how.
Algonomy’s Personalization Suite for Fashion Retailers
Find™
Personalized Commerce Search
Deliver unique, contextual search results based on the individual shopper’s behavior. Eliminate instances of zero results with search that learns from the wisdom of crowds.
Recommend™
Personalized Product Recommendations
Leverage 150+ pre-built strategies and a decisioning engine to curate 1:1 recommendations that boost conversions and basket sizes.
Discover™
Personalized Browse and Navigation
Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper’s real-time intent.
Social Proofing
Real-time Urgency Messaging
Increase engagement and conversion rates with urgency messaging based on real-time views, purchases, and inventory levels.
DeepRecs Visual AI™
Personalization with a Human-Like Touch
Help shoppers find visually similar products and provide complete-the-look recommendations, based on product images, and without manual merchandising.
DeepRecs NLP™
Better Product Discovery, Even for Fast-Changing Catalogs
Provide smart upsell and cross-sell recommendations using text descriptions for niche, seasonal, and long-tail products that remain buried due to lack of historical or events data.
Deliver unique, contextual search results based on the individual shopper’s behavior. Eliminate instances of zero results with search that learns from the wisdom of crowds.
Learn More >Leverage 150+ pre-built strategies and a decisioning engine to curate 1:1 recommendations that boost conversions and basket sizes.
Learn More >Eliminate decision fatigue by presenting the most relevant products upfront and dynamically re-sorting category pages as per a shopper's real-time intent.
Learn More >Increase engagement and conversion rates with urgency messaging based on real-time views, purchases, and inventory levels.
Learn More >Help shoppers find visually similar products and provide complete-the-look recommendations, based on product images, and without manual merchandising.
Learn More >Provide smart upsell and cross-sell recommendations using text descriptions for niche, seasonal, and long-tail products that remain buried due to lack of historical or events data.
Learn More >Draw Inspiration from our Personalization Resources
Explore our case studies, datasheet, blogs and videos to discover more.

Blue Tomato Leverages Algonomy’s AI-powered Recommendation Engine to Personalize Their Growing Catalog
Read More
Época Cosmeticos Pivots to Individualized Shopper Experiences, Improves SEO with Personalized Search, Content and Recommendations
Read More
Verkkokauppa.com Drives 1:1 Personalization Across Search, Browse, Content & Recommendations
Read MoreThe ROI of Omnichannel Personalization
749%
Return on Investment
25%
Basket Size
10-20%
Online revenue