Skip to main content

Leading online thrift store connects with shoppers individually

Case Study

Leading online thrift store connects with shoppers individually

The Results

0 %
Conversions
Improved Brand Perception
Engaged Shoppers

Client Overview

The retailer is the largest online  consignment and thrift store in the US, with the vision to help customers shop sustainably while saving money  on their favorite brands.

The Challenge

With over 2 million unique  SKUs to manage and promote, The retailer needed  to move beyond basic site search to enable truly  personalized results, making the experience individualized and  accurate. The retailer found that sessions that  include search convert 50% better than those that don’t,  however, the search terms are terse and do not provide  much insight into shopper intent. How do they then tailor  results?

Results
Client background
Challenge
Solution
Get in touch
Unlike Amazon, we carry an inventory of one. So traditional personalization strategies — customer segments, popular items, and past purchases — don’t work for our business. We needed true individualization, and Algonomy was the answer.
Chief Technology Officer
Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

1 Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

2 Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

3 Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

4 Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

Explore More Resources on Personalized Marketing

See all customer stories
How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​
Malaysia Conversational AI

How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​

See full story
0 %
Improved lead completion rate
See all customer stories

Ready to see ADA Find™ in action? Let’s talk.

UK’s FastGrowing Supermarket Drives 46% Revenue Lift

Case Study

UK’s FastGrowing Supermarket Drives 46% Revenue Lift

The Results

  • Using personalized content targeted to shoppers interested in specific categories, such as Fishing and Pets, resulted in up to 6X higher click-through rates for these categories.
  • Algonomy DeepRecs NLP resulted in 2X higher engagement and 25X higher RPMI (revenue per 1000 impressions) for the special weekly event.
  • The client witnessed a 10% higher average order value and a 46% lift in revenue per visitor.
0 %
higher Revenue Per Visitor (RPV)
0 X
RPMI from DeepRecs NLP for new launches
0 %
Attributable Revenue
0 %
higher Average Order Value (AOV)

Client Overview

A UK-based supermarket chain launched its online store and wanted to improve customer experience and increase sales through website personalization. The online shop ran two weekly events where products would sell out quickly. Therefore, there was a need to monitor inventory levels, recommend substitutes for out-of-stock items, and alert shoppers when a product was back in stock.

The Challenge

The client needed a strategic partner to guide their personalization plans and provide the technology that meets the client’s unique business model. An essential requirement was strategic advisory services to help the business teams better understand personalization’s role across the customer journey, identify specific opportunities, and roll out the plan systematically.

Results
Client background
Challenge
Solution
Get in touch
The Solutions

1 Algonomy DeepRecs Natural Language Processing (NLP) generated recommendations markedly differently from the traditional collaborative filtering recommendation techniques that rely on historical events.

2 Algonomy DeepRecs Natural Language Processing (NLP) generated recommendations markedly differently from the traditional collaborative filtering recommendation techniques that rely on historical events.

3 Algonomy Discover™ helped to achieve their vision of delivering a cohesive experience to shoppers no matter how they interact with the site.

“Algonomy’s ability to personalize for unknown shoppers is key. We’re now successfully able to engage shoppers with deeper journeys, leading to a 10% higher average order value and a 46% lift in revenue per visitor. We’re also witnessing organic repeat visits, which is invaluable.”
Managing Director

Explore More Resources on Personalized Marketing

See all customer stories
How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​
Malaysia Conversational AI

How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​

See full story
0 %
Improved lead completion rate
See all customer stories

Ready to see ADA Find™ in action? Let’s talk.

Denmark’s Leading Retailer Drives AOV with Personalization

Case Study

Denmark’s Leading Retailer Drives AOV with Personalization

The Results

  • Intelligent cross-sells at checkout led to a significant increase in average order value and items per order (over 17%).
  • Mobile, in particular, experienced a remarkable lift of over 70% in sales per view.
0 %
increase in Average Order Value
0 %
Sales Per View on intelligent cross-sell
0 %
Click-Through Rate
0 %
Sales Per View on mobile

Client Overview

The client, a major player in Denmark’s shopping cooperative, initiated efforts to meet elevated customer expectations. With a vast network and over 1.7 million local members, their focus was on elevating the end-shopper experience and driving increased conversion.

The Challenge

To address the challenge of personalization throughout the customer lifecycle, the client extensively evaluated providers. They chose Algonomy for its robust merchandising, AI-driven recommendations, and a platform conducive to continuous innovation.

Results
Client background
Challenge
Solution
Get in touch
Personalization is something that customers in the Danish market simply expect when they visit an e-shop. To meet our customer needs, we started by first implementing the most important part of the Algonomy platform: Recommend™ for Personalized Product Offers. We did this throughout our website. Soon after, we looked into implementing Discover™ for personalized product pages and lastly, Engage™, for personalized content and placements. All three modules work great together.
Digital Marketing Manager
Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

1 Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

2 Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

3 Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

4 Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

The Results
Client Overview
The Challenge
The Solution

Want to learn more about our commerce solutions or personalization offerings?

See all customer stories
How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​
Malaysia Conversational AI

How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​

See full story
0 %
Improved lead completion rate
See all customer stories

Want to learn more about our commerce solutions or personalization offerings?

Época Cosmeticos Pivots to Individualized Shopper Experiences, Improves SEO with Personalized Search, Content and Recommendations

Case Study

Época Cosmeticos Pivots to Individualized Shopper Experiences, Improves SEO with Personalized Search, Content and Recommendations

The Results

0 X
Engagement
0 %
Conversions
0 %
AOV

Client Overview

Época Cosméticos is among the  largest beauty and cosmetics retailers in Brazil, with over 16,000 SKUs of more than 740 brands.

The Challenge

Época Cosméticos had aggressive growth plans but was unable to deliver results with legacy technologies.
They sought Algonomy’s help to:

Results
Client background
Challenge
Solution
Get in touch
Algonomy helps us understand our customers better because we have all our site’s behavioral information on a single platform — something that allows us to analyze and act to further improve the experience according to their evolving needs.
U/X Coordinator
Época Cosméticos
Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

1 Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

2 Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

3 Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

4 Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

Explore More Resources on Personalized Marketing

See all customer stories
How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​
Malaysia Conversational AI

How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​

See full story
0 %
Improved lead completion rate
See all customer stories

Ready to see ADA Find™ in action? Let’s talk.

Aditya Birla Fashion and Retail Drives a 13% Lift in AOV Across 6 Brands by Personalizing Key Commerce Touchpoints

Case Study

Aditya Birla Fashion and Retail Drives a 13% Lift in AOV Across 6 Brands by Personalizing Key Commerce Touchpoints

The Results

0 %
lift in recommendations driven AOV on Pantaloons and The Collective
0 %
of attributable sales on Pantaloons
0 %
attributable sales on The Collective
0 %
lift in Revenue Per 1,000 views for AI-driven recommendations vs merchandised recommendations on Pantaloon

Client Overview

  • ABFRL’s vision is to satisfy Indian consumer needs in lifestyle and fashion with product offerings from premium brands.
  • The retailer has embarked on a digital transformation journey with a high focus on delivering personalized omnichannel customer experiences.
  • After a rigorous selection process, ABFRL chose Algonomy as their technology partner as the latter checked all the boxes for product depth and breadth, innovation, and customer success references.

Personalizing All Path-to-Purchase Commerce Touchpoints

  • ABFRL has deployed Algonomy’s AI-powered personalization suite, which comprises:
  • These solutions are live across the ABFRL brands – Pantaloons, The Collective, and Super App.
  • Algonomy’s solutions combine real-time browsing behavior with enterprise-wide customer data to create real-time, unified customer profiles that guide contextual, individualized experiences across all customer channels—including website, app, email, and in-store.
  • The solutions offer the retail industry’s only no-code Data Science Workbench and Configurable Strategies, which help ABFRL’s marketing and merchandising teams build, test, and iterate personalization strategies on the fly.
Results
Client background
Challenge
Solution
Get in touch
“Algonomy’s AI-infused personalization tech has helped us individualize all path-to-purchase digital commerce touchpoints—search, recommendations, browse, and content—to deliver a more holistic and connected customer experience.”
Varun Rajwade
AVP
Product, Design & Digital CX at ABFRL

Personalization Use Cases on the Pantaloons Online Store

Pantaloons is one of India’s largest fashion store brands. The brand has launched ‘Style Finder’ that allows shoppers to specify their preferred categories and the occasion, and view personalized product recommendations.

This feature has significantly improved product discovery in a time when consumers expect brands to make every experience feel personal.

Other examples of personalized experiences on Pantaloons:

The ‘Pick up where you left off’ placement on the home page helps a returning shopper resume their journey instead of having to start over.

Recommendation placement for similar products on Product Detail Pages.

Placement for ‘Deals of the Day’ with offers on products a shopper will likely be interested in.

Complementary product recommendations on the PDP.

Personalized product sorting in search results.

Search results for “trousers” without personalization

Search results for “trousers” with personalization

The ‘Shop the Look’ feature allows a shopper to view complementary products and complete the look.

Helping Shoppers Experience 4 Popular Brands in 1 Intuitive ‘Super App’

Super App allows shoppers to seamlessly switch between four popular and sought-after brands — Louis Philippe, Van Heusen, Allen Solly, and Peter England—on the same website or app.

Shoppers can view personalized products and add items across the four brands to a common cart and complete their purchase.

Some examples of personalization on Super App:

While setting up their account, shoppers can set their preferences for color, categories, size, etc. The personalization engine uses this information, along with the shopper’s browsing patterns and purchase history, to make the most relevant recommendations.

Typically, on most commerce websites/ apps, shoppers have to visit a PDP to find recommendations for similar products. On Super App, however, while viewing various products on a category page, shoppers can just click on the ‘View Similar’ option near a product card, which opens a pop-up containing recommendations for similar products.

Category recommendations on the home page are displayed as per the individual shopper’s tastes. The order of categories changes dynamically with respect to changes in the shopper’s behavioral and purchase patterns.

Personalized content on the home page.

Unifying the Online & Offline Shopping Experience with The Collective & Super App

“Shoppers today expect their digital shopping experience to be quick, seamless, and personalized as per their individual tastes and intent. Algonomy’s end-to-end personalization solution was the perfect fit, given our massive scale and speed requirements.”
Praveen Shrikhande
Chief Digital & Information Officer
ABRFL

Explore More Resources on Personalized Marketing

See all customer stories
How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​
Malaysia Conversational AI

How Cycle & Carriage Singapore turned WhatsApp into its main channel for events, test drives, and high-net-worth engagement​

See full story
0 %
Improved lead completion rate
See all customer stories

Ready to see ADA Find™ in action? Let’s talk.