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Harper Tech Stack
Try-before-you-buy platform for online fashion retailers
Harper operates a try-at-home fulfillment platform for UK fashion e-commerce, with a data stack centered on SQL, dbt, Airflow, and Redshift feeding Tableau and Looker dashboards. Active pain points around scalable data pipelines, fraud mitigation, and single source of truth — combined with hiring concentrated in data and engineering roles — suggest the company is shifting from fulfillment operations toward data-driven customer retention and risk models.
Tech Stack 10 technologies
What Harper Is Building
◆Challenges
- Scaling customer service operations
- Process optimisation
- Fraud risk mitigation
- Complex datasets
- Scalable data pipelines
- Single source of truth
- Scaling core systems
- Improving system reliability
▲Active Projects
- Process optimisation
- Fraud risk mitigation
- Improving customer retention, loyalty and lifetime value
- Data pipeline development
- Dashboard creation
- Single source of truth implementation
- Customer retention improvement initiative
Hiring Activity
6 roles · 5 in 30d
Department
Seniority
Company intelligence
