With 1.7 billion euros in revenue in the first half of 2025 and millions of meals delivered per week in 18 countries, HelloFresh has become the world's leading provider of cooking boxes.
But today, the focus is no longer on rapid growth, but on sustainable customer loyalty. Managing Director DACH, Juliane Kappel, talks about personalization through data and AI, over 15,000 recipes collected and how HelloFresh is increasingly understanding the preferences of its customers. She also explains how marketing, sales and the ready-to-eat brand factor work together to meet the growing desire for convenience.
An overview of the conversation:
(1:45) HelloFresh from Berlin Startup to Global Cookbox Provider
(7:30) Menu Planning & Technology: How Data and AI Optimize Meals
(13:26) Customer Experience & Personalization: Each delivery as an individual experience
(23:40) Marketing and Sales Strategies from HelloFresh
(36:30) Ready-to-eat & convenience products: How HelloFresh and Factor complement each other
(40:37) Hellofresh's future and expansion plans
Data and AI as drivers of value creation
HelloFresh's strategic shift shows that anyone who wants to retain customers over the long term and achieve operational excellence must consistently align their digital transformation with data and automation. HelloFresh is already using AI along the entire value chain — from efficient quantity and route planning in logistics to reducing manual effort when creating recipe cards.
To the AI implementation Creating successful companies and promoting tech stack optimization in e-commerce requires holistic approaches. To create data-based customer experiences — for example to be able to implement a tailor-made search & recommendation engine or to interlink existing systems through CRM integration — Etribes supports companies from potential analysis to scalable implementation.
As a specialized AI consultancy, Etribes sees artificial intelligence not as an end in itself, but as a measurable lever for modern business models. Whether it's process automation with AI to reduce costs or having intelligent chatbots and AI assistants developed: The aim is to deliver visible business impact within a few weeks — seamlessly integrated into existing system landscapes and enterprise-ready right from the start.
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