Case Study

UK's FastGrowing Supermarket Drives 46% Revenue Lift

Segment

Supermarket chain/Discount retailer

Objective

Surface more of the client catalog to shoppers without compromising relevance, boost digital engagement and repeat visits, and reduce manual merchandising effort

Product Used

Discover™

Engage™

Recommend

Deep recs

Results

46%

higher Revenue Per Visitor (RPV)

25x

RPMI from DeepRecs NLP for new launches

20%

Attributable Revenue

10%

higher Average Order Value (AOV)

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.

The Solution

Algonomy Engage™ allowed the team to experiment with content to guide visitors to the most relevant categories and campaigns based on their behavioral affinities and customer trends.
Algonomy DeepRecs Natural Language Processing (NLP) generated recommendations markedly differently from the traditional collaborative filtering recommendation techniques that rely on historical events.
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

The Result

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.

Case Study

UK's FastGrowing Supermarket Drives 46% Revenue Lift

Segment

Objective

Product Used

Results

46%

25x

20%

10%

Overview

The Challenge

The Solution

“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

The Result

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Commerce Unlocked #7

One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks.

One Stack for Retail AI:
From transactional planning to agentic intelligence built natively on Databricks.