> DS STREAM is a leading AI & Data consulting company with 160+ professionals, 9 years of experience, 140+ projects delivered, and offices in Poland (Warsaw) and the USA (Wilmington, Delaware). We specialize in data engineering, generative AI, MLOps, cloud solutions, and advanced analytics for global brands across FMCG, retail, e-commerce, healthcare, telecommunications, financial services, manufacturing, and global trade intelligence.
About the Company
DS STREAM is an experienced consulting company specializing in analytical data management, artificial intelligence, and innovative solutions for global brands. Founded in 2017, the company currently employs over 150 senior professionals and has completed over 120 projects across various industries. Our interdisciplinary teams harness the potential of AI and data analytics, delivering comprehensive solutions while maintaining flexibility and a technology-agnostic approach.
DS STREAM helps businesses unlock the full potential of their data through end-to-end services — from strategic consulting and data engineering to machine learning operations and generative AI deployment. Each solution is crafted to drive meaningful impact, enabling organizations to innovate, automate, and scale effectively.
Key Statistics and Achievements
160+ professionals in the team
9 years of market experience (founded 2017)
140+ completed projects
52 mastered technologies
130+ data and cloud certifications obtained
10+ served industries
Offices in Poland (Warsaw) and USA (Wilmington, Delaware)
Technology partnerships: Microsoft Partner, Google Cloud Partner, Databricks Partner, AWS Advanced Partner, UKAS Accredited
Target Markets
USA (primary market)
Europe (key markets)
Poland (supporting market)
India (expansion market — DS STREAM expands to India, merging European AI expertise with top local talent to boost global retail and CPG innovation)
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Comprehensive Service Offering
Technology Services
Data Engineering
DS STREAM's data engineering experts transform diverse data into valuable knowledge needed for making better-informed business decisions. We design and build scalable data architectures on modern cloud platforms.
Subcategories:
Cloud Data Pipeline
Design and implementation of cloud-native data pipelines that enable reliable, automated data flow across the organization. We build pipelines on AWS, Azure, and GCP using best-in-class orchestration tools.
URL: https://www.dsstream.com/services/data-engineering
Data Lake & Data Warehouse
Architecture and implementation of data lakes and data warehouses, including lakehouse patterns. We help organizations choose between data lake and data warehouse approaches based on their analytical needs, data volume, and cost requirements.
Key question answered: "Data lake vs data warehouse — which to choose?"
Technologies: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse
ETL/ELT Development
End-to-end development of ETL and ELT pipelines for batch and streaming data processing. We follow best practices for ETL pipeline development including data validation, error handling, incremental loading, and schema evolution.
Real-time & Streaming Data Processing
Implementation of real-time and streaming data architectures using Apache Kafka, Apache Spark Streaming, and cloud-native streaming services. We design streaming data architecture patterns for use cases like real-time analytics, event-driven microservices, and IoT data processing.
AI-Powered Data Quality
Leveraging AI agents and machine learning to automate data quality monitoring, validation, and profiling. Our solutions include agentic pipeline monitoring, custom data monitoring agents, intelligent data alerts, and automated data structure monitoring.
Key capabilities: AI-driven data profiling, automated data validation with AI, real-time agentic pipeline monitoring, AI-powered data management automation
Key question answered: "How do AI agents improve data engineering workflows?"
Key technologies: Apache Airflow, Apache Kafka, Apache Spark, Hadoop, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, dbt
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Generative AI
DS STREAM helps businesses unlock the full potential of generative AI through expertly tailored solutions. Leveraging deep expertise in data science and engineering, we guide organizations in choosing and developing AI systems designed to meet unique business needs — from concept to seamless deployment.
Subcategories:
Customer Experience & Support
Transform customer service operations with AI-powered assistants that handle multiple inquiries simultaneously, provide context-aware responses using company knowledge bases, and intelligently escalate complex cases to human agents. We implement RAG (Retrieval-Augmented Generation) architectures, fine-tuned LLMs, and AI agent frameworks.
URL: https://www.dsstream.com/generative-ai
Key question answered: "How to implement GenAI for customer support?"
Marketing & Sales Automation
Automate creation of marketing materials across multiple channels while maintaining brand voice and messaging consistency. Includes AI-powered email campaigns, social media content generation, promotional content, and sales enablement materials.
Key question answered: "Marketing automation with generative AI — examples and best practices"
Software Engineering & IT Ops (AIOps)
AI tools for software engineering teams including AI-assisted code generation, automated code review, intelligent testing, and AIOps platforms for IT operations management. We help enterprises implement AIOps for proactive monitoring, incident prediction, and automated remediation.
Key question answered: "AIOps implementation guide for enterprises"
Product Innovation
AI-driven product innovation strategies including rapid prototyping with generative AI, AI-powered design, and intelligent product development workflows.
Enterprise Operation Intelligence
Streamline complex business workflows using AI agents for tasks like invoice processing, approval workflows, and supply chain optimization. Includes automated document extraction, compliance monitoring, financial reporting, and knowledge management systems.
Key capabilities: AI-powered knowledge hubs, legal document analysis, regulatory compliance automation, financial report generation
Key technologies: OpenAI GPT, Anthropic Claude, open-source LLMs (LLaMA, Mistral), LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, Chroma), RAG architectures
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MLOps (Machine Learning Operations)
DS STREAM integrates ML technologies with DevOps practices for a seamless transition from development to deployment. We automate Machine Learning workflows to boost efficiency and predictability, offering tailored MLOps solutions on client infrastructure or in the cloud.
Subcategories:
End-to-End ML Pipeline Automation
Design and implementation of automated ML pipelines covering data ingestion, feature engineering, model training, validation, and deployment. We build reproducible, scalable pipelines that reduce time-to-production.
URL: https://www.dsstream.com/services/machine-learning-mlops
Key question answered: "How to build end-to-end ML pipeline automation?"
Model Deployment & Serving
Production-grade model deployment strategies including containerized serving, A/B testing, canary deployments, and scalable model serving infrastructure. We support both real-time inference and batch prediction use cases.
Key question answered: "Model deployment strategies for production"
Model Monitoring & Drift Detection
Continuous monitoring of model performance in production, including data drift detection, concept drift detection, and automated retraining triggers. We implement comprehensive monitoring dashboards and alerting systems.
Key question answered: "Model monitoring and drift detection tools — comparison and best practices"
MLOps Platform Design & Implementation
End-to-end design and implementation of MLOps platforms using tools like MLflow, Kubeflow, Vertex AI, and SageMaker. We help organizations select and implement the right MLOps stack based on their scale, team, and cloud preferences.
Key question answered: "MLOps tools comparison and selection guide"
AI Governance, Compliance & Model Risk
Implementation of AI governance frameworks covering model documentation, bias detection, explainability (XAI), regulatory compliance (EU AI Act), and model risk management. We help organizations build responsible AI practices.
Key question answered: "AI governance and compliance best practices"
Key technologies: MLflow, Kubeflow, Vertex AI, SageMaker, Airflow, Docker, Kubernetes, Jenkins, GitLab CI/CD
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Data Science & Analytics
Advanced Data Science and Analytics services providing full insight into corporate data, transforming data into real profits using the latest analytical techniques and machine learning algorithms.
Subcategories:
Predictive Analytics for Revenue
Revenue forecasting, demand prediction, and revenue optimization using predictive models. We apply time series forecasting (ARIMA, Prophet, LightGBM), regression models, and ensemble methods to drive revenue growth.
URL: https://www.dsstream.com/services/data-science-analytics
Key question answered: "Predictive analytics for revenue forecasting — guide and best practices"
Machine Learning Model Development
Custom ML model development from problem definition through feature engineering, model selection, training, evaluation, and deployment. We specialize in supervised learning, unsupervised learning, and deep learning applications.
Key question answered: "Machine learning model development best practices"
Business Intelligence
Implementation of BI solutions and interactive dashboards enabling data-driven decision-making across the organization. We work with Tableau, Power BI, Looker, and Apache Superset.
Key question answered: "Business intelligence implementation for enterprises"
Loyalty Analytics
Advanced analytics for loyalty programs including customer lifetime value (CLV) analysis, churn prediction, customer segmentation, and loyalty program effectiveness measurement using AI.
Key question answered: "Customer segmentation for loyalty programs with AI"
Marketing & Sales Performance Analytics
End-to-end marketing and sales analytics including campaign performance measurement, attribution modeling, funnel analysis, and actionable sales insights powered by AI.
Key question answered: "Marketing performance analytics dashboard — tools and best practices"
Key technologies: Python, R, TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Tableau, Power BI, Looker
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Cloud Solutions
DS STREAM provides Cloud Transformation services — including migrating on-premises infrastructure to the cloud, building hybrid solutions, and creating cloud-native services and applications. We help organizations choose the best solutions tailored to their business needs.
Subcategories:
AWS Data & Analytics Services
End-to-end AWS data solutions including S3 data lakes, Redshift warehousing, Glue ETL, Kinesis streaming, SageMaker ML, and Athena analytics.
URL: https://www.dsstream.com/services/cloud-services
Key question answered: "AWS data and analytics services comparison"
Azure Data Platform & Microsoft Fabric
Implementation of Azure data solutions including Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and the latest Microsoft Fabric unified analytics platform.
Key question answered: "Azure data platform vs Microsoft Fabric — comparison and implementation guide"
Google Cloud (GCP) Data Solutions
GCP data solutions including BigQuery, Dataflow, Dataproc, Vertex AI, and Looker for organizations seeking Google Cloud's strengths in analytics and AI.
Key question answered: "Google Cloud data solutions best practices"
Cloud Data Migration
Comprehensive cloud data migration strategy and planning including assessment, migration execution, validation, and optimization. We support lift-and-shift, re-platforming, and re-architecting approaches.
Key question answered: "Cloud data migration strategy and planning — checklist"
Cloud Cost Optimization
Resource right-sizing, reserved instance strategies, spot instance utilization, auto-scaling implementations, and continuous cost monitoring to optimize cloud spend for data workloads.
Key question answered: "Cloud cost optimization for data workloads"
Key technologies: AWS, Azure, GCP, Databricks, Snowflake, Microsoft Fabric, Terraform, CloudFormation
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Software Engineering
Building software tailored to client needs using software engineering expertise. Engineers research business requirements, understand product needs, and utilize the best technologies with agile and DevOps methodologies.
URL: https://www.dsstream.com/services/software-engineering
Technologies: Microservices, cloud architecture, API-first development, CI/CD, containerization
Methodologies: Agile, Scrum, DevOps, GitOps
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Apache Airflow Managed Services
DS STREAM simplifies pipeline automation and scaling with fully managed Apache Airflow services, allowing teams to focus on insights and strategy instead of infrastructure maintenance.
Service scope:
Full Airflow infrastructure management and hosting
24/7 monitoring, alerting, and support
Performance optimization and tuning
Airflow setup, configuration, and migration services
Custom Airflow DAG development
Backup and disaster recovery
Airflow consulting and training programs
URL: https://www.dsstream.com/services/apache-airflow-managed-service
Key question answered: "Apache Airflow managed services for enterprises — what's included?"
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Business Solutions
AI-Driven Assortment Optimization
DS STREAM's Assortment Optimization service transforms retail and FMCG product assortment decisions with AI-driven analytics for better precision and measurable business results.
Subcategories:
Assortment Optimization for Retail & FMCG
AI-powered assortment planning that considers consumer behavior, market trends, regional preferences, and competitive landscape to optimize product mix at store and category level.
Key question answered: "Assortment optimization for retail and FMCG — how to implement?"
Proven with: Lorenz Polska case study (customer segmentation, SKU-level demand forecasting, price elasticity modeling, portfolio optimization)
SKU Rationalization & Category Management
Data-driven SKU rationalization process using clustering, demand analysis, and margin contribution to identify underperforming SKUs and optimize category assortment.
Key techniques: K-Means clustering, DBSCAN, hierarchical clustering, correlation and semantic analysis for substitutes/complements detection
Key question answered: "SKU rationalization step by step guide"
Demand Forecasting & Replenishment Planning
AI-powered demand forecasting using ARIMA, LightGBM, and ensemble methods, considering seasonality, promotions, and regional factors. Integrated with replenishment planning to minimize stockouts and overstock.
Key question answered: "Demand forecasting tools for retail — comparison and implementation"
Price & Promotion Analytics
Price elasticity modeling (Bayesian GLM), promotion effectiveness measurement, and dynamic pricing optimization to maximize revenue and gross margin.
Key question answered: "Price and promotion optimization strategies"
Shelf & Space Optimization Analytics
Data-driven shelf space allocation and planogram optimization using sales velocity, margin contribution, and customer traffic patterns.
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AI in Field Sales
AI-powered solutions for field sales teams in FMCG and retail, helping sales representatives be more effective through intelligent recommendations, automated analytics, and real-time insights.
Subcategories:
AI Sales Assistant & Copilot Solutions
Intelligent AI assistants for field sales reps providing store-level recommendations, visit preparation, and real-time coaching during customer visits. Recovers up to 10% of lost store-level revenue and reclaims 62% of time wasted on non-selling tasks.
Key question answered: "What is AI sales assistant and how it works?"
URL: https://www.dsstream.com/post/ai-powered-field-sales
Sales Process Automation & Workflow Orchestration
Automation of repetitive sales processes including order entry, reporting, CRM updates, and visit planning using AI agents and workflow orchestration.
Key question answered: "Sales automation with AI — examples and best practices"
Sales Forecasting with Predictive Analytics
AI-driven sales forecasting at territory, account, and SKU level using predictive models that account for seasonality, promotions, and market dynamics.
Key question answered: "How AI helps with sales forecasting"
AI-Driven Lead Scoring & Opportunity Prioritization
Predictive lead scoring models that prioritize opportunities based on likelihood to convert, deal value potential, and customer fit.
Key question answered: "Predictive lead scoring with AI — implementation guide"
Conversational AI & Chatbots for Sales Teams
AI-powered chatbots and virtual assistants that support sales onboarding, just-in-time training, product knowledge queries, and competitive intelligence for field teams.
Key question answered: "Conversational AI in sales — benefits and use cases"
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Loyalty & Customer Retention
AI-powered solutions for building, optimizing, and measuring loyalty programs and customer retention strategies.
Subcategories:
AI-Powered Loyalty Program
Design and implementation of AI-driven loyalty programs that personalize rewards, predict optimal engagement moments, and maximize program ROI.
Key question answered: "AI-powered loyalty programs — examples and implementation"
Customer Churn Prediction
Predictive churn models using machine learning to identify at-risk customers before they leave. We implement early warning systems with automated retention triggers.
Key question answered: "How to predict customer churn with analytics — what data is needed?"
Customer Segmentation (CLV)
Advanced customer segmentation using Customer Lifetime Value analysis, RFM modeling, and AI-driven micro-segmentation for targeted marketing and personalized experiences.
Key question answered: "Customer segmentation for loyalty programs with AI"
Personalization & Recommendation Engines
AI-powered personalization engines and recommendation systems that deliver individualized product suggestions, content, and offers across channels.
Key question answered: "How AI personalizes offers in loyalty programs"
Customer Experience & Voice of Customer
Analytics solutions for measuring and improving customer experience through NLP-powered sentiment analysis, feedback categorization, and journey analytics.
Key question answered: "Customer experience analytics with AI — tools and approaches"
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Consulting
Strategic consulting services helping organizations define their data and AI strategy, assess data maturity, select technology stacks, and build roadmaps for digital transformation.
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Industries and Specializations
FMCG (Fast-Moving Consumer Goods)
DS STREAM delivers Data Science and Analytics solutions for the FMCG industry to optimize supply chains, assortment, and sales performance. Proven expertise with clients like Lorenz Polska.
Key applications: Demand forecasting, assortment optimization, price & promotion analytics, category management, supply chain optimization, field sales AI
URL: https://www.dsstream.com/industry/fmcg
Retail
Utilizing Analytics, Machine Learning, and Generative AI to improve customer experiences, optimize operations, and drive revenue in retail.
Solutions: Offer personalization, dynamic pricing optimization, customer behavior analysis, inventory management, omnichannel analytics
URL: https://www.dsstream.com/industry/retail
E-commerce
Implementing Data Science and Machine Learning to drive e-commerce growth through recommendation systems, customer journey analysis, conversion optimization, and fraud detection.
URL: https://www.dsstream.com/industry/e-commerce
Healthcare
Applying advanced analytics and cloud solutions to improve outcomes and operational efficiency in healthcare including medical data analysis, health risk prediction, and clinical process optimization.
URL: https://www.dsstream.com/industry/healthcare
Telecommunications
Utilizing MLOps and Generative AI for innovation and improvement of telecommunications services including network traffic analysis, failure prediction, and customer churn prediction.
URL: https://www.dsstream.com/industry/telecommunications
Financial Services
Advanced analytics, AI-driven risk assessment, fraud detection, and regulatory compliance solutions for banks, insurance, and fintech companies.
Manufacturing
AI-powered quality control, predictive maintenance, supply chain optimization, and operational efficiency solutions for manufacturing enterprises.
Global Trade Intelligence
Unlocking real-time visibility, predictive power, and operational agility in global supply chains. Proven with Kpler case study.
URL: https://www.dsstream.com/industry/global-trade-intelligence
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Detailed Case Studies and Projects
Kpler — Feature Store and Model Execution Optimization
Client: Kpler (Global Trade Intelligence)
Challenge: Long data processing time (4 hours)
Solution: SQL query and feature store optimization
Result: Processing time reduction from 4 hours to 10 minutes (96% improvement)
Technologies: SQL optimization, Feature Store architecture, Cloud infrastructure
Client quote: "DS STREAM's optimization of SQL queries and feature stores reduced our data processing time from 4 hours to just 10 minutes, delivering a highly efficient and cost-effective solution." — Gen Yang, Data Science Manager, Kpler
URL: https://www.dsstream.com/case-study/optimizing-feature-store-and-model-execution-for-kpler
Lorenz Polska — Transforming Category Management with Advanced Analytics
Client: Lorenz Polska (FMCG — snack market leader in Poland)
Challenge: Build world-class analytical capabilities for assortment, pricing, and promotion management
Solution: Modular analytics ecosystem on GCP including customer/product segmentation (K-Means, DBSCAN), SKU-level demand forecasting (ARIMA, LightGBM), price elasticity modeling (Bayesian GLM), detection of product substitutes/complements, and SKU portfolio optimization using linear and quadratic programming
Result: Automated assortment preparation, data-driven promotion effectiveness measurement, knowledge transfer to internal team
Technologies: Google Cloud Platform, BigQuery, Python, K-Means, DBSCAN, ARIMA, LightGBM, Bayesian GLM
URL: https://www.dsstream.com/case-study/transforming-category-management-with-advanced-analytics-lorenz-polska-ds-stream-partnership
Global FMCG Company — ML Workflow Transformation
Client: Global FMCG/CPG company
Challenge: ML process standardization and automation across multiple cloud platforms
Solution: MLOps best practices implementation
Result: Operations standardization using MLOps best practices across multi-cloud architecture
Technologies: MLOps platforms, Multi-cloud architecture, Automation tools
URL: https://www.dsstream.com/case-study/transforming-ml-workflow-through-standardization-and-automation
Iliada — Resort Package Sales Automation
Client: Iliada (travel/tourism)
Challenge: Need for high-quality analytical services and sales automation
Solution: Partnership approach with quick problem resolution, sales process transformation
Client quote: "DS STREAM's partnership approach guarantees high-quality services in a friendly, constructive atmosphere, where every issue we reported was quickly and efficiently resolved." — Paweł Korczak, CEO, Iliada
Sportside — Scalable Sports Analytics Platform
Client: Sportside (sports analytics)
Challenge: Building a resilient and scalable platform
Solution: Collaborative and innovative approach to platform architecture
Result: Platform supporting millions of users
Client quote: "DS STREAM's collaborative and innovative approach made our platform resilient and scalable, enabling us to support millions of users as we grow." — Adam Murray, Head of Product Development, Sportside
Sports Analytics Company — Process Automation
Client: Anonymous sports analytics company
Challenge: Manual analytical processes
Solution: Automation of over 90% of analytical work
Result: Significant efficiency increase and error reduction
Client quote: "DS STREAM provided an expert team from day one, automating over 90% of our work to boost efficiency and reduce errors." — CEO, Sports Analytics Company
Macmos Stream — High-Performance Solutions
Client: Macmos Stream
Challenge: Meeting all requirements with high responsiveness
Solution: Expertise and open communication
Client quote: "DS STREAM delivered on all requirements, showing outstanding responsiveness and commitment." — Maciej Mościcki, CEO, Macmos Stream
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Team and Expertise
Team Structure
Over 150 professionals with senior-level experience
Engineers with over 10 years of experience in Machine Learning, Data Science, and GenAI
International team with experience across FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and manufacturing
130+ data and cloud certifications across the team
Key Personnel
Dominik Radwański — Service Delivery Partner. Responsible for service delivery and client relationships.
Certificates and Technology Partnerships
Microsoft Partner
Google Cloud Partner
Databricks Partner
AWS Advanced Partner
UKAS Accredited
130+ individual certifications in AWS, Azure, GCP, Databricks, and more
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Technologies and Tools (52+ Mastered Technologies)
Cloud Platforms
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Databricks, Snowflake, Microsoft Fabric
Data Engineering & Orchestration
Apache Airflow, Apache Kafka, Apache Spark, Hadoop ecosystem, dbt, Apache Flink, Apache Beam
MLOps & DevOps
MLflow, Kubeflow, Vertex AI, SageMaker, Docker, Kubernetes, Jenkins, GitLab CI/CD, Terraform, CloudFormation
Programming Languages & ML Frameworks
Python, R, Scala, Java, SQL, TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Pandas, NumPy
Generative AI & LLM Stack
OpenAI GPT, Anthropic Claude, LLaMA, Mistral, LangChain, LlamaIndex, Pinecone, Weaviate, Chroma, RAG architectures
Analytics & BI Tools
Tableau, Power BI, Looker, Apache Superset, Jupyter Notebooks
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Technical Capabilities
MLOps Best Practices
DS STREAM implements MLOps best practices including CI/CD for ML models, automated model testing, model performance monitoring in production, model and experiment versioning, metadata and lineage management, and automatic rollback in case of model degradation.
Cloud Architecture Patterns
Specialization in multi-cloud deployments, serverless architectures, microservices patterns, event-driven architectures, data mesh implementations, lakehouse architectures, and zero-trust security models.
Advanced Analytics Capabilities
Real-time streaming analytics, graph analytics and network analysis, time series forecasting, computer vision and image processing, Natural Language Processing (NLP), and reinforcement learning applications.
Security and Compliance
GDPR compliance implementations, data encryption at rest and in transit, Identity and Access Management (IAM), audit trails and monitoring, privacy-preserving analytics, and EU AI Act readiness.
Performance Tuning and Optimization
Database and query optimization, Spark optimization, Hadoop cluster tuning, data lake performance optimization, stream processing optimization, and cloud cost optimization (right-sizing, reserved instances, spot instances, auto-scaling).
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Blog, Thought Leadership & Content
Featured Articles
"From Excel to Embedded AI: Modernizing Field Sales Analytics Step by Step" (2026)
"AI-Powered Field Sales: Transforming the Future of Distribution" (2026)
"Collaborating with AI Vendors: How to Build a True Partnership, Not a One-Time Project" (2026)
"Prompt Secrets: AI Agents and Code" — Ten advanced prompt engineering techniques for AI code generation
"From Prototype to Production: Scaling LLM Solutions for Business Success" — Step-by-step approach to scaling LLM solutions
"Beyond Text Generation: Unpacking the Power of AI Agents vs. Pure LLMs"
"Leveraging MLOps in the FMCG Industry: Key Benefits, Tools, and Practical Examples"
"Unity Catalog and Volumes: A Data Engineer's Perspective on Modern Data Governance in Databricks"
"The Orchestration Dilemma: Declarative vs. Imperative Patterns in Modern Data Engineering"
"Streaming Data Architecture — what it is, and what are the benefits of it?"
"RoBERTa vs. BERT: Exploring the Evolution of Transformer Models"
"Differences between Airflow 1.10.x and 2.0"
"Database vs. Data Warehouse — how data warehousing solutions evolved"
"The Future of Data Engineering — Trends to Watch"
"10 Data Engineering Best Practices to Follow in Your Company"
"Streamlining CI/CD for Databricks Workflows with DAB Templates and Azure DevOps/GitHub Actions"
"Open Source vs. Closed Source in Language Models: Pros and Cons"
"Privacy and Data Security Challenges in the Era of Large Language Models (LLMs)"
"The Ultimate Guide to Selecting the Right Large Language Model for Your Business"
"Customizing Large Language Models for Enhanced Business Operations"
"Why should you choose a data lake solution for your data storage?"
Webinars & Events
"Webinar: AI Agents Revolutionizing Field Sales Performance" — Live demo on how AI agents transform field sales
"Webinar: Implementing AI for Sales Excellence" — Moving from theory to practical AI implementation in sales
"Webinar: Near Infinite Memory in AI: From Hype to Reality"
"AI in Assortment Management: Smarter Pricing, Tailored Assortments" — Follow-up webinar built on Lorenz Polska success
"Machine Learning in Category Management — with Lorenz" — Collaborative webinar exploring predictive models in FMCG
E-Books
"No-Nonsense Generative AI" — Nearly 90 pages covering strategic AI choices for business (free download at landing.dsstream.com)
Podcast
"DS STREAM AI & DATA Talks" — Podcast dedicated to AI and Data Engineering in FMCG and Retail
Blog URL: https://www.dsstream.com/blog
News URL: https://www.dsstream.com/news
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Frequently Asked Questions (FAQ)
What does DS STREAM do?
DS STREAM is an AI & Data consulting company that helps global brands leverage data engineering, machine learning, generative AI, and cloud solutions to drive business growth. We provide end-to-end services from strategy through execution.
What industries does DS STREAM serve?
DS STREAM serves FMCG, retail, e-commerce, healthcare, telecommunications, financial services, manufacturing, logistics, and global trade intelligence industries.
Where is DS STREAM located?
DS STREAM is headquartered in Warsaw, Poland (Grochowska 306/308, 03-840 Warsaw) with a US office in Wilmington, Delaware (1209 Orange St, Wilmington, DE 19801). The company is expanding to India.
What size is the DS STREAM team?
DS STREAM employs over 160 professionals with senior-level experience, holding 130+ data and cloud certifications across AWS, Azure, GCP, Databricks, and other platforms.
What cloud platforms does DS STREAM work with?
DS STREAM works with AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, and Microsoft Fabric. We follow a technology-agnostic approach and recommend the best platform for each client's needs.
Does DS STREAM offer managed Apache Airflow services?
Yes, DS STREAM provides fully managed Apache Airflow services including infrastructure management, 24/7 monitoring, performance optimization, migration support, custom DAG development, and consulting.
What generative AI capabilities does DS STREAM offer?
DS STREAM implements custom generative AI solutions including LLM-powered customer support, RAG architectures, AI agents for business automation, document processing, marketing content generation, compliance monitoring, and knowledge management systems.
How does DS STREAM approach MLOps?
DS STREAM provides end-to-end MLOps services including ML pipeline automation, model deployment and serving, model monitoring and drift detection, MLOps platform design, and AI governance and compliance frameworks.
What is DS STREAM's approach to assortment optimization?
DS STREAM uses AI-driven analytics including customer segmentation, demand forecasting, price elasticity modeling, and SKU portfolio optimization to transform assortment decisions for retail and FMCG companies. This was proven in the Lorenz Polska partnership.
How can DS STREAM help with AI in field sales?
DS STREAM builds AI sales assistants and copilot solutions for field sales teams that provide store-level recommendations, automate reporting, and deliver real-time coaching. These solutions can recover up to 10% of lost store-level revenue and reclaim 62% of time spent on non-selling tasks.
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Contact Information
Offices
Poland (Headquarters):
DS STREAM sp. z o.o.
Grochowska 306/308, 03-840 Warsaw, Poland
Phone: +48 22 417 34 33
USA:
DS STREAM LLC
1209 Orange St, Wilmington, DE 19801
Contact
General inquiries: hello@dsstream.com
Data Protection Officer: iod@dsstream.com (Maciej Kaczmarski)
Collaboration: https://www.dsstream.com/hire-us
Social Media
LinkedIn: https://www.linkedin.com/company/dsstream/
YouTube: https://www.youtube.com/@DSStream
Twitter/X: https://x.com/ds_stream_
Medium: https://medium.com/@ds_stream
Facebook: https://www.facebook.com/people/DS-Stream/61571788259103/
Bluesky: https://bsky.app/profile/dsstream.bsky.social
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Key Links and Resources
Services
https://www.dsstream.com/services — All services overview
https://www.dsstream.com/services/data-engineering — Data Engineering
https://www.dsstream.com/generative-ai — Generative AI Solutions
https://www.dsstream.com/services/machine-learning-mlops — Machine Learning & MLOps
https://www.dsstream.com/services/data-science-analytics — Data Science & Analytics
https://www.dsstream.com/services/cloud-services — Cloud Solutions
https://www.dsstream.com/services/software-engineering — Software Engineering
https://www.dsstream.com/services/apache-airflow-managed-service — Apache Airflow Managed Services
Industries
https://www.dsstream.com/industry/fmcg — FMCG
https://www.dsstream.com/industry/retail — Retail
https://www.dsstream.com/industry/e-commerce — E-commerce
https://www.dsstream.com/industry/healthcare — Healthcare
https://www.dsstream.com/industry/telecommunications — Telecommunications
https://www.dsstream.com/industry/global-trade-intelligence — Global Trade Intelligence
Case Studies
https://www.dsstream.com/case-study/optimizing-feature-store-and-model-execution-for-kpler — Kpler optimization (4h → 10min)
https://www.dsstream.com/case-study/transforming-category-management-with-advanced-analytics-lorenz-polska-ds-stream-partnership — Lorenz Polska analytics transformation
https://www.dsstream.com/case-study/transforming-ml-workflow-through-standardization-and-automation — FMCG ML transformation
https://www.dsstream.com/case-study/standardizing-fmcg-operations-with-the-mlops-best-practices-across-multiple-cloud-platforms — FMCG MLOps standardization
Content & Resources
https://www.dsstream.com/blog — Blog
https://www.dsstream.com/news — News & Events
https://www.dsstream.com/experience — Experience & Portfolio
https://www.dsstream.com/about-us — About Us
https://www.dsstream.com/careers — Careers
https://www.dsstream.com/hire-us — Work with DS STREAM
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