GALERIA Achieves 230% Revenue Growth and 50% Margin Uplift on Optimized Assortment with Predictive Pricing

Learn how Galeria is embracing AI-driven pricing

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Company Overview

GALERIA is one of Germany’s largest department store chains, with 83 retail locations and approximately 16,000 employees. Its broad assortment spans fashion, accessories, and lifestyle, offering over 2 million SKUs. As a traditional retailer operating in a highly competitive environment, GALERIA needed to modernize its pricing approach to stay competitive with more agile online players.

To meet its long-term goals for profitability, operational efficiency, and customer experience, GALERIA partnered with KPS to implement 7Learnings’ AI-powered pricing solution.

GALERIA adopts AI pricing to meet market challenges

Challenges

GALERIA relied on manual pricing processes that were too slow and inflexible to keep pace with the evolving retail landscape. These legacy systems made it difficult to respond swiftly to market shifts, consumer demand, and competitive pricing.
Despite managing millions of SKUs, the company had limited ability to dynamically adjust prices based on performance data or market trends, leading to missed revenue and profit opportunities.
Pricing misalignment across product categories and channels resulted in a less competitive and inconsistent customer offering, impacting conversion rates and brand perception.
The company needed a pricing solution that could scale across its massive assortment and support a wide variety of business goals, from profit maximization to markdown strategies.

Solution

Using 7Learnings’ predictive pricing engine, GALERIA automated its pricing decisions across millions of SKUs. Prices are now set dynamically based on a combination of internal performance data, competitor benchmarks, and demand signals.
The platform enables GALERIA to simulate pricing outcomes in advance, forecasting revenue, profit, and volume to align pricing with business goals.
The solution is built on Google Cloud Platform, utilizing BigQuery for data warehousing and Machine Learning models for precise forecasting. This ensures a scalable, secure, and future-proof pricing foundation.
KPS led the integration process, auditing GALERIA’s systems to ensure smooth data flow, optimal configuration, and maximum impact.

7Learnings helped achieve:

230%

revenue increase vs control

50%

margin increase vs control

Conclusion

GALERIA faced a complex pricing challenge, with over 2 million SKUs and growing pressure from digital competitors. By adopting 7Learnings’ predictive pricing technology, implemented by KPS, the company shifted from manual processes to real-time, data-driven pricing.

The results speak for themselves: +230% revenue, +50% margin uplift, and a 2-month ROI. Today, GALERIA is equipped with the agility and intelligence to respond dynamically modern retail pricing.

Thanks to 7Learnings, we are finally on track for data-driven price automation and optimization!

Dr. Yola Engler

Director Pricing and Profit Management, Westwing

7Learnings replaced broad discounts with surgical, elasticity-driven pricing across our digital marketplaces. Driving a +61% profit uplift while automating our data pipelines via ChannelEngine has been a huge benefit for our global commercial strategy.

Leon op 't Hoog

Marketplace Manager, Petrol Industries

The solution developed by 7Learnings made price steering radically easy for our team, while increasing our profits and revenues significantly.

Timo Bethlehem

Managing Director @ meinemarkenmode.de

The 7Learnings solution has signifcantly increased our proftability and greatly simplifed the pricing process.

Dirk Wappler

CEO & Co-founder @ Apologistics

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