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Retail (flowers & plants)Sourced

Case Study: BLUME2000 SE doubles its online revenue with Aiven for Apache Kafka

BLUME2000 SE Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
BLUME2000 SE
Industry
Retail (flowers & plants)
Challenge
Replace a complex legacy system so the online business could scale.
Headline result
Doubled online revenue during the pandemic, absorbing a 400% surge in order transactions on 99.99% uptime

Key results

2x
Online revenue
doubled during COVID-19
400%
Order-transaction volume increase
at peak events
99.99%
Uptime
provided by Aiven

The challenge

BLUME2000 SE, Germany's leading flower and plant retailer with 230 stores and a 20-year-old online business, needed to rebuild the complex in-house legacy system underpinning its online shop. The legacy system was hindering the buying experience and making it time-consuming to add new features, while competition from supermarkets and online-only florists intensified.

The solution

BLUME2000 SE re-architected its online platform around self-contained systems communicating asynchronously and selected Aiven for Apache Kafka running in Google Cloud to move data rapidly and reliably between applications, orchestrated alongside its stack via Terraform.

Our developers can focus on innovation and delivering an awesome experience to our customers.

JC
Jonas Clusen
CIO, BLUME2000 SE

The results, in context

With the new responsive and scalable system in place, BLUME2000 SE was able to double its online business during the COVID-19 pandemic. Aiven provides 99.99% uptime and near-zero downtime during maintenance. During peak events such as Valentine's Day and Mother's Day, the volume of order-related transactions increased by 400% while Aiven for Apache Kafka kept data moving rapidly between services.

Products used

Aiven Aiven for Apache Kafka