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D2C Beauty & Wellness

From "data everywhere, insights nowhere" to a modern data stack

We built Glow25 a modern, maintainable data infrastructure - from automated ingestion to self-service BI and a natural-language AI interface.

The company

Glow25 is a Berlin-based “pro-aging” brand developing collagen-based beauty and wellness products. Online-first and operating across Europe, they run a fast-growing D2C model built on e-commerce, subscriptions and rapid shipping, with a loyal subscriber base.

The challenge

Data everywhere, insights nowhere. Glow25’s data was scattered across e-commerce, marketplaces, marketing and CRM tools, with no reliable way to turn it into decisions. Four challenges stood between the team and data-driven operations - from fragmented sources to the absence of a single, trustworthy reporting layer.

What we built

We designed and implemented a modern data stack along the full value chain, from data creation to activation:

  • Ingestion & orchestration - automated pipelines pull from e-commerce, marketplaces, marketing and CRM into a single place.
  • Cloud data warehouse - one governed home for all data.
  • Modelling, testing & docs - transformed, tested and documented models the business can trust.
  • Self-service BI - fast, maintainable Lightdash dashboards for e-commerce, subscription performance and P&L.
  • AI interface - a natural-language layer so business teams can ask questions of their data directly.
  • Reverse ETL - modelled data pushed back into operational tools such as the CRM, where it creates value.

The result

Business teams and management moved from hunting for numbers to a fast, self-service reporting layer they trust - with dashboards for the metrics that run the business and an AI interface that answers everyday questions in plain language.