- Analytics & Modeling - Machine Learning
- Functional Applications - Warehouse Management Systems (WMS)
- Consumer Goods
- Equipment & Machinery
- Product Research & Development
- Warehouse & Inventory Management
- Predictive Maintenance
- Time Sensitive Networking
- Cloud Planning, Design & Implementation Services
- Data Science Services
bonprix is a Hamburg-based online retailer that sells quality affordable fashion and homewares. The company operates across Europe, Russia, and North America. Founded in 1986, bonprix initially focused on mail-order fashion before launching its first online shop in 1997. Today, the company has a 3,000-strong workforce that supports more than 35 million global customers, with 90% of its revenues coming from ecommerce. bonprix has strong in-house development and data engineering teams that are always looking to maximize the potential of available and developing technology to optimize its business goals.
bonprix, an online international fashion and homeware retailer, was facing challenges with its traditional on-premises data warehouse setup based on Teradata and a data lake based on Cloudera Hadoop. As the amount of raw data the company collected grew, storage costs rose. The company also had to deal with the complexity of managing two different systems for structured and unstructured data. This not only made data comparison difficult but also hindered the enhancement of their machine learning and artificial intelligence capabilities. bonprix wanted a solution that would allow all their data to be in the same place, be more cost-effective, and enhance their machine learning and artificial intelligence capabilities.
bonprix decided to migrate to Google Cloud, with the help of Google Cloud partners KPMG and Aliz. The migration began in March 2020 and was completed 12 months later in March 2021, on time and on budget. With Google Cloud, bonprix now has all its structured and unstructured data in one place, making it easier and faster to analyze and integrate the data for machine learning. The company also found the new setup better suited to testing new use cases. The time it takes to develop new ML models has been significantly reduced, now taking just two weeks. bonprix has also seen its data storage costs drop. Looking ahead, bonprix plans to integrate Google Cloud with the external workflow solution Apache Airflow and use Google Cloud management tools to get insights into its data analysis, datastore, databases, and developer services.
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