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Case study · Flügger Group A/S

How Flügger grew online revenue 13% with AI-generated color pages.

40,000 paint colors. Four markets. Mathematical pigment data turned into emotional, multilingual copy that customers - and search engines - could finally read.

Flügger Group A/S DK · SE · NO · PL 2023–2024

Preface

In a technical world, a color is a collection of mathematical values. To people, it's something else entirely - colors add life to the world, evoke emotions, carry stories.

During the lifetime of Malgodt.dk, the team behind it (Rasmus, Lars and Kresten) did remarkable work bringing those numbers out into easy-to-discover color pages. It may have been one of the reasons the boutique paint shop was so successful. The idea was carried over to Flügger, and when ChatGPT arrived, it was time to see how far we could take it.

The problem

Flügger has a wide range of colors - different charts, collaborations, themes. With a fresh round of webshops launching, it was time to help painters and curious future customers actually discover the emotions delivered through colors they might want to own - not just scroll past hex codes.

The solution

There was huge potential to use large language models to rewrite the mathematical properties into natural language for the most desired and purchased colors. Together with Kresten Kjær Larsen and Lene Hessilt Kjær, I built a versatile prompt that produced detailed, multilingual descriptions for each color - small pieces of text that became valuable additions next to each color image.

How it was done

We took confidential data from Flügger Labs - how bright each color is, how many pigments it carries, its coverage on walls, how it tints - and created natural-language mappings to that color-tinting data. The descriptions described the colors without overtly stating the technical details.

To further protect the data, we put a zero-data-retention agreement with Azure in front of the GPT-4 endpoints. The data, paired with the custom prompt, was sent to the most powerful model available at the time. To this day, GPT-4 remains one of the best out there for this kind of task.

Results

Online color-page revenue grew approximately 13% from the first month after release to the eleventh.
13%
Revenue lift
4
Markets · DK/SE/NO/PL
11mo
Tracking window
0 20 40 60 Relative increase, % Sep 2023 Nov 2023 Jan 2024 Mar 2024 May 2024 Jul 2024 Sweden (SEK) Denmark (DKK) Norway (NOK) Poland (PLN) Average
Relative increase in monthly net revenue from the introduction of AI-generated color pages, indexed against the Sep 2023 baseline. Data normalized for GDPR-compliant tracking.

Context

Wins

Comment from the team

Peter Møllebjerg Andersen seated on an inflatable rainbow unicorn float
"The distance from the technical to the emotional narrative of a colour is an artform in itself, which the usage of LLM is a good start of bridging." Peter Møllebjerg Andersen CDO, CIO & CMO - Flügger Group A/S

What does it mean for you?

Every company, from a small startup like Malgodt.dk to a well-established player like Flügger, can use AI to enhance the business.

There's often a lot of valuable data locked behind difficult-to-interpret values. That's where I'm extra passionate about the power of AI: with the right engineering, patience in testing, and small enough tasks, we can unlock entirely new perspectives. That was the great promise of the internet in 1993 - and today, we have the technology to make it real.

Credits

It was a great pleasure working with the team at Flügger.

At the time of development I was employed by Flügger. I was not sponsored to write this article, nor did I receive any compensation for it. It is analyzed and written to the best of my ability and in good faith as an independent developer with a passion for AI-applied software.

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