The second-hand goods market is growing unstoppably, but faces its own unique logistical and strategic challenges. In this episode, Karo talks with Claudia Frese, Momox CEO, about the unique "circular economy" business model.
How does Momox solve the "supply bottleneck" problem when purchasing from private individuals, which is currently the biggest brake on growth? Why is algorithmic pricing vital for survival when inventory consists of millions of unique items? And how is Agentic Commerce changing the market? Claudia explains why pure marketplaces are becoming significantly more vulnerable in the age of AI and why genuine physical logistics is becoming an advantage for Momox compared to platforms like Vinted.
Also: Claudia shares her perspective on profitability with nearly 400 million euros in revenue, the challenge of unstructured data in clothing, and her ambitious goals for double-digit growth and further internationalization.
Conversation at a glance:
(03:20) The Momox Business Model: C2B2C vs. Marketplaces
(09:45) Recommerce Market Growth & Competition from Fast Fashion
(22:30) Algorithmic Pricing & Structured vs. Unstructured Data
(31:40) AI Image Recognition and Automation in Logistics
(43:15) Growth and Expansion Plans at Momox
Scalability through AI and Modern Tech Architectures
Sustainable growth in today's commerce environment is inextricably linked to operational excellence and technological innovation. Especially in the fashion segment, where unstructured data can threaten margins, Momox demonstrates how crucial the intelligent capture and processing of item information is. Through the targeted use of AI image recognition in goods receipt, the company automates key steps and drastically reduces manual efforts. At the same time, the ongoing migration to modern systems like Shopify forms the necessary technological foundation for continued double-digit growth.
Similar to how Momox leverages unstructured fashion data through AI photo recognition and relies on modern systems like Shopify for further scaling, as an experienced digital transformation agency, we identify as part of our AI Strategy Consulting the biggest economic levers along your value chain. Since algorithm-driven business models and automated logistics require a high-performance infrastructure, we provide holistic support for your Tech Stack Optimization in e-commerce. Before any technological renewal, we quantify the measurable added value through services such as our Value Sprint or an AI Readiness Assessment and translate the potential into a prioritized roadmap. During the subsequent AI implementation, we focus on use cases that deliver visible business impact within a few weeks – from initial intelligent assistants to comprehensive AI process automation. In parallel, we build future-proof, scalable architectures that are consistently aligned with your business strategy.
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