From vision to value: data engineering and MLOps solutions in practice
This section collects DS Stream case studies - delivered projects in data engineering, cloud and MLOps. Nine success stories cover FMCG, retail and e-commerce, healthcare and global trade intelligence, with named clients such as Kpler, Lorenz Polska, First Longevity and Iliada.pl, plus global CPG work delivered under NDA.
Key takeaways
- The section is a portfolio of delivered projects, not a product catalog: each entry shows the client context, the work and the outcome.
- Most stories sit in FMCG and CPG; the others cover healthcare, e-commerce and global trade intelligence.
- Themes repeat: MLOps standardization and automation, cloud and data platform work, and analytics for category management.
- Named clients include First Longevity, Lorenz Polska, Iliada.pl and Kpler. Global FMCG and CPG clients stay anonymous.
- Two client quotes on this page come from the Longevity.Technology Team and from Sandra Lemanska, Category Manager at Lorenz Polska.
What does the DS Stream case studies section cover?
It covers DS Stream expertise proven on delivered projects: data engineering, cloud and MLOps solutions taken from concept to execution. Nine success stories describe real-world impact and measurable outcomes for clients in healthcare, FMCG, e-commerce and global trade intelligence, including work for a global FMCG and CPG company.
The stories group into three recurring types of work:
- MLOps solutions portfolio - standardizing and automating ML workflows, scaling deep learning training and inferencing, and running MLOps best practices across multiple cloud platforms.
- Data platforms and cloud - a metadata-driven data lakehouse on Azure and a centralized GCP MLOps platform built for cost efficiency and streamlined development.
- Analytics and AI products - category management analytics for Lorenz Polska, real-time intelligence for the longevity ecosystem, feature store and model execution optimization for Kpler, and an AI voice bot for resort package sales at Iliada.pl.
How do you pick the right success story to read first?
Start from what matches your situation: your industry, your platform or your bottleneck. If you work in FMCG, read the MLOps and data platform stories. If you run an e-commerce or service business, read Iliada.pl. If your problem is processing time and stability, read Kpler.
- By industry - compare your sector with FMCG, Retail, E-commerce, Healthcare or Global Trade Intelligence.
- By capability - map the story to a service such as MLOps, Data Engineering or AI Engineering.
- By platform - choose the GCP, Azure or multi-cloud story that matches your stack; see Cloud Solutions for the underlying approach.
Real-world results that showcase innovation, impact and measurable growth
Powering Real-Time Intelligence for the Longevity Ecosystem First Longevity & DS Stream partnership: manual processes turned into scalable, real-time intelligence.
View projectTransforming Category Management with Advanced Analytics How data-driven decision-making propels FMCG success.
View projectTransforming Resort Package Sales Automation Europe's first AI voice bot for Iliada.pl, automating complex resort package sales with 24/7 multilingual service and instant bookings.
View projectOptimizing Feature Store and Model Execution Data processing time cut from four hours to ten minutes, with better system stability and scalability.
View projectTransforming ML Workflow Through Standardization and Automation
View projectStandardizing FMCG Operations with MLOps Best Practices Across Multiple Cloud Platforms
View projectStreamlining Data Operations with a Metadata-Driven Data Lakehouse on Azure
View projectMLOps Platform for Scaling Deep Learning Model Training and Inferencing
View projectCentralized GCP MLOps Platform for Cost Efficiency and Streamlined Development
View projectFigures published in these success stories
10 minutes
Data processing time at Kpler after feature store and model execution optimization, down from four hours.
Source: DS Stream case study: Optimizing Feature Store and Model Execution for Kpler
24/7
Service coverage of the multilingual AI voice bot that automates resort package sales for Iliada.pl.
Source: DS Stream case study: Transforming Resort Package Sales Automation for Iliada.pl
9
Success stories published in this section, spanning healthcare, FMCG, e-commerce and global trade intelligence.
Source: DS Stream case studies page
Questions about these case studies
Which case study should I read if I work in FMCG or CPG?
Most stories here are FMCG and CPG projects. For analytics, read Transforming Category Management with Advanced Analytics for Lorenz Polska. For MLOps at scale, read Standardizing FMCG Operations with MLOps Best Practices Across Clouds. The FMCG industry page gives the wider context.
Are any clients named, and why are some anonymous?
First Longevity, Lorenz Polska, Iliada.pl and Kpler are named in their stories. Every story still states the work done and the result.
Where can I see all case study pages in one place?
The case study pages list holds the full set of project write-ups. This page is the curated overview: it groups the stories by industry and capability so you can jump straight to the closest match for your own platform or business problem.
Which service pages match the work shown here?
ML standardization, monitoring and deployment stories map to MLOps. Lakehouse, pipeline and migration work maps to Data Engineering and Cloud Solutions. The Iliada.pl voice bot maps to AI Engineering.
How do I start a conversation about a similar project?
Use the contact form on the DS Stream home page. The team replies within 4 hours on working days (Monday to Friday, 9am - 5pm CET). Dominik Radwanski, Service Delivery Partner, is the contact listed for this section.
Tell us which story is closest to your problem
Send a short description of your data, cloud or MLOps challenge and point to the case study that resembles it. We'll get back to you within 4 hours on working days (Mon - Fri, 9am - 5pm CET).
Contact DS Stream