Draft:7Learnings
Submission declined on 26 May 2025 by Chaotic Enby (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies.
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Submission declined on 26 May 2025 by KylieTastic (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by KylieTastic 26 days ago.
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Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. ChristianBustian (talk) 10:01, 26 May 2025 (UTC)
7Learnings is a technology company based in Berlin, Germany, that provides software-as-a-service (SaaS) solution for price optimization in e-commerce. The company uses machine learning algorithms to forecast demand at various price points and automate pricing decisions for online retailers. Its software aims to help retailers increase profitability and operational efficiency by enabling data-driven strategies.[1]
History
[edit]7Learnings was founded in 2019 by Martin Nowak, Eiko van Hettinga, and Felix Hoffmann. The founders brought experience from the e-commerce and energy sectors; Hoffmann had previously worked on pricing algorithms at Zalando, while van Hettinga served as a Chief Operating Officer at the energy startup Thermondo.
The idea for 7Learnings emerged from the founders' observation that many small and medium-sized retailers lacked access to advanced pricing tools used by larger e-commerce platforms. The goal was to democratize access to machine learning-based dynamic prcing technology.
Technology
[edit]The 7Learnings platform leverages predictive analytics to forecast sales, revenue, and profit at different price points. Retailers can use this information to set pricing strategies aligned with their business goals, such as maximizing revenue and clearing inventory. The system also offers daily daily automated pricing recommendations at the individual product level.
Funding and Expansion
[edit]In May 2025, 7Learnings announced it had raised over €10 million in a Series B funding round to support international expansion, particularly in North America.
Community and Industry Engagement
[edit]Beyond its core product, 7Learnings has contributed to the broader pricing and retail analytics ecosytem. In February 2022, the company launched the Dynamic Pricing Community (DPC), a professional network aimed at sharing best practices in pricing strategy and technology. The community hosts webinars, publishes reports, and facilitates peer-to-peer exchange among pricing professionals in Europe.
Reception and Impact
[edit]7Learnings has been cited in discussions about the role of artificial intelligence in retail pricing, particularly in contexts such as post-pandemic supply chain shifts, Black Friday discounting strategies, and responses to inflationary pressures. However, independent analyses of the company's impact and adoption remain limited.
References
[edit]- ^ "7Learnings Secures EUR10M+ Series B to Accelerate Global Expansion of Its Retail AI Platform". MarketWatch. May 7, 2025.
- ^ "Handelsblatt". www.handelsblatt.com.
- ^ "German startup 7Learnings raises €10 million to expand its retail AI platform to the US". 7 May 2025.
- ^ "7Learnings Secures €10M+ Series B to Accelerate Global Expansion of Its Retail AI Platform".
- ^ "7Learnings — the Next Generation of Retail Pricing". 9 May 2025.
- ^ "The price of AI-enhanced forecasts in retail".
- ^ "Pressemeldung: Black Friday kostet deutschen Handel jährlich 300 Millionen Euro - Kearney DACH - Kearney".