Multi-brand e-commerce seller scaling Home & Living and Kids products across European marketplaces
Everbrent operates two consumer brands—BLUMTAL (home goods) and LALENI (baby/kids)—sold across Amazon, BOL, Otto, and regional marketplaces in seven languages. The tech stack reveals a data-light, design-forward operation: heavy Adobe Creative Cloud and Figma use, paired with basic analytics (Excel, SQL, Python, R), plus recent AI tool adoption (ChatGPT, Firefly, Sora). Active projects center on Amazon optimization (A+ content, brand stores, PPC strategy) and internal forecasting/planning tools, while pain points cluster around conversion lift and demand prediction—suggesting the team is trying to move from reactive marketplace selling to data-informed product strategy, but lacks the analytical infrastructure to get there.
Everbrent is a Cologne-based seller of consumer goods across Home & Living (BLUMTAL) and Baby/Kids (LALENI) categories. Founded in 2016, the company sells via third-party marketplaces—primarily Amazon—in seven languages across the EU and UK. The product strategy centers on quality and price-to-value positioning. The team is split between design (product imagery, brand asset creation), marketing (marketplace listing optimization), finance/logistics, and sales, with a recent hiring slowdown and Germany-only recruitment.
Everbrent uses Excel, AWS, SQL, Python, and R for analytics; Adobe Creative Suite (Photoshop, Illustrator, InDesign, Lightroom, Firefly) and Figma for design; and Amazon Advertising for marketplace promotion. Recent tools: ChatGPT, Sora.
Everbrent is based in Cologne (Köln), North Rhine-Westphalia, Germany, with 51–200 employees. Currently hiring only in Germany.
Primary focus: Amazon optimization (A+ content, brand stores, listings). Secondary: internal tools for sales reporting, cashflow forecasting, return analysis, and data-driven planning/monitoring. Also developing creative performance analytics and PPC strategy integration.
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