Data Lake / Data Warehouse Modernization · Marketing Personalization
epaka.pl was making marketing and operational decisions from partial, delayed reports and needed a single trusted data foundation that could unify online and offline order data in real time and support churn prediction.
Reported impact
epaka.pl replaced months-long reporting delays with real-time visibility, improved campaign and courier decisions, and used the stronger data foundation to drive significant order growth.
epaka.pl uses Google Cloud to address this challenge: epaka.pl was making marketing and operational decisions from partial, delayed reports and needed a single trusted data foundation that could unify online and offline order data in real time and support churn prediction. BigQuery acts as the company’s data brain by unifying order data from online channels and more than 300 offline locations, serving as the storage layer. Looker delivers real-time dashboards and self-service reporting on top of the unified data foundation, serving as the serving layer. BigQuery ML predicts churn risk from historical customer behavior and transactional signals, serving as the compute layer. Order and transactional data from online channels and hundreds of offline locations is centralized in BigQuery, Looker reads that foundation in real time for reporting and monitoring, and BigQuery ML scores churn risk so commercial teams can act before customers leave.
Order and transactional data from online channels and hundreds of offline locations is centralized in BigQuery, Looker reads that foundation in real time for reporting and monitoring, and BigQuery ML scores churn risk so commercial teams can act before customers leave.
BigQuery is now what Wichert describes as the company’s data brain.
Looker automatically pulls data from BigQuery in real time, ensuring the epaka.pl team is working with data they can trust.
This ability to use data to make strategic decisions has helped contribute to a 153% rise in customer orders year-over-year since 2024.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Oprócz platformy wysyłkowej epaka.pl to również prawie 400 stacjonarnych placówek w całej Polsce, które każdego dnia obsługują tysiące zadowolonych klientów.
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