Azure-Driven Release Management and Deployment Modernization
99.999%
availability for main application components.
7X lower
storage costs and 10× savings with AKS vs Azure Functions.
Industries
Industries We Serve
Cross-industry engineering experience across regulated and high-growth sectors.
All IndustriesSuccess Story
Real-Time Customer Data Pipeline for Marketing Activation
A scalable streaming platform enabling real-time customer intelligence, faster campaigns, and measurable revenue impact.
2.5B records
processed daily in near real time.
50% cost reduction
eliminates manual workflows and improves efficiency.
Technologies
Apache Spark
Braze
Looker
Data SLOs
Expertise
Data analysis
Data pipelines
Client Overview
Zalando
Zalando is one of Europe’s leading online retail platforms with 51 million active users across 25 markets. Headquartered in Berlin, Zalando specializes in fashion and lifestyle, managing a high-volume digital ecosystem with global reach.
Industries
Retail, E-commerce, Fashion
Headquarters
Berlin, Germany
Company size
10,000+ employees
Challenges
Manual or Fragmented Reporting
Zalando’s teams relied on manual calculations and fragmented datasets, limiting their ability to execute marketing campaigns quickly and operate confidently at scale.
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Manual reporting
Consent opt-in rates required hours of manual calculations, delaying decisions and creating operational bottlenecks.
Extreme scale
Processing 4B client-ids across three years required infrastructure that could scale without exponential cost growth.
Missing data foundation
Marketing lacked a centralized, real-time data source, limiting campaign precision and audience targeting.
Data quality risks
At billions of daily records, even small inconsistencies could significantly impact downstream systems and campaigns.
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Let’s build a scalable, real-time data platform tailored to your business.
Why They Chose Us
Proven Expertise in High-Volume Data Platforms
Zalando chose Zoolatech for its ability to deliver reliable, large-scale data systems aligned with business outcomes.
High-scale data engineering
Experience building distributed data systems capable of processing billions of events daily with stability and performance.
Outcome-driven delivery
Strong alignment between engineering execution and marketing impact, ensuring faster time to value.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.
2017
Year Founded
600+
Employees
96%
Client Satisfaction
Workflow
Structured Approach to Scalable Data Delivery
A phased delivery ensured rapid implementation while maintaining performance, scalability, and data quality.
Phase 1
Discovery and architecture
Defined system architecture, data flows, and integration points across marketing and analytics platforms.
Phase 2
Pipeline development
Built a Spark streaming pipeline to process consent and behavioral data in near real time.
Phase 3
Data product creation
Developed structured data products to support marketing, analytics, and compliance use cases.
Phase 4
Monitoring and optimization
Implemented Data SLOs, anomaly detection, and dashboards to ensure reliability at scale.
Phase 5
Activation
Integrated data outputs into Braze, enabling real-time campaign execution and segmentation.
The real-time data platform enabled faster decisions, improved campaign precision, and measurable revenue impact at scale.
Solution
Real-Time Customer Data Platform Foundation
Zoolatech delivered an end-to-end streaming data platform powering Zalando’s customer intelligence and marketing systems.
Streaming pipeline
Apache Spark pipeline processes ~2.5B records daily, enabling real-time data availability across systems.
Consent data product
Centralized dataset covering 4B client-ids replaces manual calculations and supports compliance reporting.
CDP 360 foundation
Gold-layer data feeds directly into Braze, enabling real-time segmentation and campaign activation.
Results
From Manual Work to Measurable Marketing Impact
The new data platform enabled faster decision-making, reduced operational overhead, and created a foundation for scalable marketing growth.
€4.5M potential
Targeted GMV uplift enabled through improved data quality and more precise marketing campaigns.
>50% cost reduction
Processing costs reduced by more than half while scaling to billions of daily records.
Real-time activation
Marketing campaigns now run on real-time, reliable customer data instead of delayed batch inputs.
Business Value
A Scalable Foundation for Data-Driven Growth
Zalando now operates on a modern data foundation that supports both immediate marketing needs and long-term platform scalability.
Marketing agility
Teams can launch and optimize campaigns faster with real-time customer insights and reduced dependency on manual processes.
Future-ready platform
Scalable architecture enables rapid development of new data products and expansion of CDP capabilities.
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