ML-powered pricing and demand forecasting for retail and e-commerce
7Learnings builds machine-learning pricing software for retailers and e-commerce brands, claiming an average +10% profit uplift for customers. The company is sales-driven (10 of 17 open roles in sales) with active hiring in Germany and the UK, suggesting geographic expansion. Current project focus—lead qualification, outbound sequences, event execution—indicates early-stage go-to-market scaling rather than product maturation; paired with pain points around sales process optimization and lead generation, the hiring velocity reflects a team in growth-stage sales motion.
Notable leadership hires: Head of Product
7Learnings develops predictive pricing and demand-forecasting software for retail and e-commerce operators. The product uses machine learning to forecast demand across price and marketing scenarios, enabling decision-making based on financial targets rather than static rules. Founded in 2019 by former pricing leaders including a co-founder who previously managed global pricing algorithms at a major e-commerce company, the team operates from Berlin with 11–50 employees. Current operations span Germany and the UK, with active projects in sales enablement, lead generation, and U.S. market entry.
The platform uses machine learning to forecast demand at different price points and marketing spend levels, helping retailers and brands optimize pricing and promotional decisions to maximize profit. Average reported uplift: +10% profit improvement for customers.
Stack includes Salesforce, HubSpot, Outreach, Apollo, Salesloft, and Zendesk for sales and customer support operations; GitHub for engineering; Notion for internal workflows.
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