Berlin-based startup 7Learnings has secured $11.3 million in Series B funding to scale its AI-powered pricing optimization platform for retailers. Led by co-founders Felix Hoffmann, Eiko van Hettinga, and Martin Nowak, the funding round was backed by Acton Capital, HTGF, and High-Tech Gründerfonds, three of Europe’s most prominent early-stage investors.

The company, which specializes in predictive pricing solutions using machine learning, is helping e-commerce and omnichannel retailers increase profit margins by dynamically adjusting prices based on forecasted customer behavior, inventory levels, and competitive context.

---

Retail’s New Edge: Predictive Pricing at Scale

The retail industry has undergone massive disruption since the pandemic. Consumer demand has grown more volatile, supply chains remain unpredictable, and inflation has redefined price sensitivity across segments. Traditional rules-based pricing strategies have proven too rigid to cope with such dynamic variables.

Enter 7Learnings, whose SaaS platform brings next-gen pricing intelligence to the retail world. By leveraging AI to forecast how price changes impact KPIs like revenue, profit, and conversions, the platform enables retailers to optimize prices in real-time across product categories, markets, and sales channels.

Clients such as ABOUT YOU, Deichmann, and other major European retailers have already integrated 7Learnings’ technology, reporting up to 10% margin improvements and 5–8% revenue lifts from automated, data-driven pricing strategies.

---

What Makes 7Learnings Stand Out

Most pricing software on the market still relies on static rules or reactive discounting logic. 7Learnings shifts this paradigm by focusing on price elasticity modeling and impact prediction, allowing businesses to test pricing scenarios before rolling them out.

Key differentiators include:

• Elasticity-based AI models trained on historical and real-time data
  
• Goal-based optimization (e.g., maximize profit, clear inventory, grow market share)
  
• Seamless API integration with major e-commerce platforms and ERP systems
  
• Continuous learning loops that fine-tune pricing strategies as market conditions evolve
  

This isn't just repricing. It's strategic, AI-driven decision-making embedded into retail workflows.

---

The Funding Momentum

This Series B raise will enable 7Learnings to:

• Expand deeper into the UK, Nordics, and North America
  
• Enhance its forecasting algorithms and pricing simulations
  
• Strengthen go-to-market functions and customer support
  
• Scale partnerships with ERP and POS system providers
  

It also signals a shift: investors are looking beyond flashy AI prototypes toward industry-specific platforms that solve deep, legacy inefficiencies.

---

The Turning Point for Founders: Deep vs. Wide AI

Here’s where it gets real. One of the core lessons founders can extract from 7Learnings’ journey is this: vertical AI wins over general-purpose AI - when built with precision.

If you’re building in AI, don’t just chase horizontal scalability. Instead:

• Choose a vertical with massive yet underserved inefficiencies
  
• Build accurate, explainable models that outperform legacy methods
  
• Understand the business logic of your target customers better than they do
  
• Don’t just add AI - replace broken workflows end to end
  

Founders often make the mistake of treating AI like a feature. But the companies attracting serious Series B money right now are treating AI like a new interface to legacy pain points - and embedding it where decisions are made, not just where dashboards live.

7Learnings didn’t try to build a generalized optimization tool. They focused ruthlessly on retail pricing, learned its economics, and solved for precision and profit at once.

---

Retail AI Market Outlook: High Growth, Higher Stakes

The global AI in retail market is projected to grow from $7.4 billion in 2023 to over $31 billion by 2030, according to Fortune Business Insights. That’s a CAGR of 23.2%, fueled by rising customer expectations, increased data availability, and competitive pressure to automate.

Within this, pricing optimization is one of the most high-impact use cases. A study by McKinsey found that optimized pricing can boost profitability by up to 25%, and yet only 15% of retailers currently use AI for pricing decisions.

That gap is 7Learnings’ opportunity.

As e-commerce continues to blur lines with physical retail and customer journeys become more complex, the demand for real-time, adaptive pricing systems is growing exponentially.

---

What’s Next for 7Learnings?

The company is expected to:

• Expand its presence among mid-market and enterprise retailers
  
• Roll out next-gen predictive simulations for promotional pricing
  
• Deepen machine learning explainability to support pricing teams
  
• Form ecosystem partnerships with marketplaces, 3PLs, and financial software vendors
  

If they execute, 7Learnings could become the standard infrastructure layer for pricing optimization in European and global retail.

---

Final Take: Retail Tech Is Having a Moment

As retail undergoes rapid AI transformation, companies like 7Learnings are proving that domain-focused, data-rich platforms are not only fundable - they’re foundational. Investors are no longer dazzled by AI wrappers. They're backing execution, vertical integration, and measurable outcomes.

Founders who build platforms that deeply understand a market - and transform not just one metric, but the way business decisions are made - are the ones defining this new.