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Aldi Leverages Integrated Personalization to Drive Revenue Lift, Tailors Customer Experience

Case Study

Aldi Leverages Integrated Personalization to Drive Revenue Lift, Tailors Customer Experience Despite Unique Business Model and Fast-Changing Catalogue


Aldi is one of the UK’s fastest-growing discount supermarkets with over 900 stores and a unique flash sale business model that launches new product categories twice a week.

The Challenge The retailer sought a personalization provider to not just boost digital engagement and repeat visits, but also chart their personalisation strategy and identify new opportunities. With Algonomy, Aldi aimed to:

  • Personalise product recommendations to both known customers and unknown, first-time shoppers
  • Surface newly launched products (even those without behavioral data) to relevant shoppers, recommend substitutes for out-of-stock products, and alert shoppers when a product is back in stock – all this without manual merchandising
  • Personalize content and category listing pages to deliver a cohesive experience and guide shoppers to the most relevant categories, campaigns, and products

With Algonomy, we’re able to trigger personalized experiences in real-time, and shoppers don’t have to dig deep into the product catalog to locate products they prefer.

David Barter,
Managing Director of
National IT, Aldi

Product Used Algonomy Personalization Suite:

Top Brands Trust Algonomy

Move from Segmentation to 1:1 Personalization at Every Customer Touchpoint

Particle element
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.

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.

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.

Particle element
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.

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Aldi Case Study