Dremio for Retail & Consumer Products
Unify, govern, and optimize all your retail, consumer, and supply chain data with
Dremio’s Intelligent Lakehouse Platform—built for speed, agility, and actionable insights.
Retail Companies Who Trust Dremio

Use Cases for Retail & Consumer Products
Real-Time Omnichannel & Customer Analytics
Empower merchandising, marketing, and operations teams to analyze customer journeys, sales trends, and omnichannel data in real time—directly on the lakehouse, with no ETL or data copies required.
Amazon achieved 10x faster query performance and reduced project times by 90% for retail analytics.
Modernized Data Engineering & Cost Optimization
Simplify architecture, decouple storage and compute, and reduce ETL and infrastructure costs by unifying sales, inventory, and supply chain data sources without complex pipelines.
NCR completed analytics projects in 90% less time and delivered >10x price/performance for retail operations.
Data as a Service (DaaS) for Retail Ecosystems
Centralize access to sales, inventory, and supplier data and enable secure, governed, and scalable self-service analytics for internal and external consumers (e.g., store managers, suppliers, partners).

Schwarz delivered their Data and AI platform STACKIT built on a core lakehouse architecture powered by Dremio.
Governed Self-Service Analytics for Business Teams
Enable analysts, merchandisers, and store managers to securely explore and analyze data independently, reducing IT bottlenecks and accelerating time-to-insight for smarter merchandising and supply chain decisions.
ABC Supply delivered self-service analytics across 70+ data sources for 1,200 daily BI users.
OVERVIEW
Data-Driven Innovation for Retail & Consumer Products
Dremio’s Intelligent Lakehouse Platform delivers unique advantages for retail and consumer products companies seeking to accelerate analytics, optimize supply chains, and personalize customer experiences
Self-Service Analytics for Business Units
Empower merchandisers, marketers, supply chain managers, and store teams to independently explore and analyze sales, inventory, and customer data using their preferred BI tools. Dremio’s semantic layer and open architecture reduce IT bottlenecks, accelerating time-to-insight for smarter product, pricing, and inventory decisions.


Unified Data
Unify access to all your retail, e-commerce, and supply chain data—across cloud, on-premises, and SaaS sources—without ETL. Dremio’s advanced query federation and virtual data integration provide a single source of truth for omnichannel analytics and operational efficiency.
Frictionless connectors and integrations across all your data, in the cloud and on-premises
Superior Performance & Intelligent Optimization
Automatically accelerate analytics and AI workloads on large-scale retail datasets with Autonomous Reflections and Iceberg Clustering. Dremio’s intelligent engine delivers sub-second query performance, enabling real-time dashboards and rapid decision-making for merchandising and operations.


Intelligent Data Discovery & AI-Powered Access
Simplify the discovery and curation of trusted, AI-ready datasets for personalization, demand forecasting, and inventory optimization with Dremio’s semantic layer and catalog. Enable business and technical users to quickly find, understand, and leverage data for advanced analytics and AI-driven retail strategies.
Advanced Security and Governance
Protect sensitive customer and business data and ensure compliance with industry standards using fine-grained role-based access controls, audit trails, and centralized metadata management. Dremio’s governance tools enable secure, compliant analytics for distributed teams across hybrid and multi-cloud environments.
Dremio's Intelligent Lakehouse Platform
The Dremio Intelligent Lakehouse Platform empowers organizations to modernize their infrastructure without disruption while enabling faster decision-making through unified access to critical data sources.