E-commerce lingerie retailer with try-at-home and recommendation engine
Chantelle Lingerie operates an intimate apparel marketplace across France and Germany, built around a bra recommendation algorithm and orchestrated try-at-home fulfillment. The tech stack is lean—Python, Office, design tools (Photoshop, Canva, InDesign)—with no cloud data platform or advanced analytics infrastructure visible, suggesting operations remain merchant-centric rather than data-driven. Current hiring is sparse but distributed across finance, engineering, marketing, and ops, indicating early-stage scaling pressure on logistics and personalization.
Chantelle Lingerie (formerly Lingerie Edition GmbH) is a direct-to-consumer e-commerce platform selling intimate apparel in France and Germany. The core product centers on a fit recommendation algorithm designed to help customers find the right bra size, paired with a try-at-home purchase model to reduce return friction. The company is 11–50 employees, headquartered in Berlin, and has been operating since 2013. Current focus areas include email personalization, A/B testing, and addressing logistical optimization challenges tied to the try-at-home experience.
Direct-to-consumer e-commerce for intimate apparel in France and Germany, featuring a bra-fit recommendation algorithm and try-at-home fulfillment to reduce fit uncertainty and returns.
Python and C/C++ for backend; Microsoft Office and Google Workspace for admin; Photoshop, Canva, and InDesign for design. No visible adoption of cloud data platforms or modern analytics infrastructure.
Yes. Five active roles open across finance (2), engineering (1), marketing (1), and ops (1), with hiring limited to Germany and velocity accelerating.
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