Google Cloud Platform Case Studies bonprix: Enhancing Shopping Experience with Scalable ML and AI Automation via Google Cloud

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	bonprix: Enhancing Shopping Experience with Scalable ML and AI Automation via Google Cloud Google Cloud Platform

bonprix: Enhancing Shopping Experience with Scalable ML and AI Automation via Google Cloud

Google Cloud Platform

Technology Category	Analytics & Modeling - Machine Learning Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries	Consumer Goods Equipment & Machinery
Applicable Functions	Product Research & Development Warehouse & Inventory Management
Use Cases	Predictive Maintenance Time Sensitive Networking
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Functional Applications - Warehouse Management Systems (WMS)

Applicable Industries

Consumer Goods

Equipment & Machinery

Applicable Functions

Product Research & Development

Warehouse & Inventory Management

Use Cases

Predictive Maintenance

Time Sensitive Networking

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	The migration to Google Cloud has allowed bonprix to shift its IT team's focus from infrastructure management to service creation. The company has been able to test and deploy new machine learning models more quickly and efficiently. It has also been able to build up its machine learning and artificial intelligence capabilities, creating a recommendation engine that recommends similar products to customers based on what they click on, a fraud-detection system, and a programmatic advertising system that forecasts the return on investment for different advertising spots. The company is also developing other machine learning-based use cases. With Google Cloud taking over the management of much of bonprix's infrastructure, the company's developers and engineers can now focus on creating new data-based products and getting them to market faster.

Impact #1

The migration to Google Cloud has allowed bonprix to shift its IT team's focus from infrastructure management to service creation. The company has been able to test and deploy new machine learning models more quickly and efficiently. It has also been able to build up its machine learning and artificial intelligence capabilities, creating a recommendation engine that recommends similar products to customers based on what they click on, a fraud-detection system, and a programmatic advertising system that forecasts the return on investment for different advertising spots. The company is also developing other machine learning-based use cases. With Google Cloud taking over the management of much of bonprix's infrastructure, the company's developers and engineers can now focus on creating new data-based products and getting them to market faster.

Benefit #1	Migration to Google Cloud completed in 12 months, on time, and on budget
Benefit #2	Significantly reduces time to develop new ML models to just two weeks
Benefit #3	40% to 50% more cost-effective than on-premises solution

Benefit #1

Migration to Google Cloud completed in 12 months, on time, and on budget

Benefit #2

Significantly reduces time to develop new ML models to just two weeks

Benefit #3

40% to 50% more cost-effective than on-premises solution

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Overview

bonprix: Enhancing Shopping Experience with Scalable ML and AI Automation via Google Cloud

Operational Impact

Quantitative Benefit