Discover Lakehouse for Retail
The unified data, analytics and AI platform retailers use to deliver more in every phase of the customer journey

Better performance, greater scale, lower TCO

Lakehouse for Retail
Unify your data and AI workloads with sharing and governance built in, so internal and external teams can get access to the data they need when they need it
Impact across the entire value chain
Retail Solutions and Partners
No-compromise data analytics and AI solutions purpose-built for your industry
Databricks Solution Accelerators are purpose-built guides — fully functional notebooks and best practices — that speed up retail results. Save time on discovery, design, development and testing in use cases like propensity scoring, customer lifetime value, order picking optimization and more.
Fine-Grained Forecasting
Generate forecasts at scale in less time
Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.
Customer Segmentation
Segment your customers for better targeting
Create advanced customer segments using sales data, campaigns, promotion systems and more to drive better purchasing predictions based on behaviors.
Real-Time Point-of-Sale Analytics
Calculate real-time inventories across multiple store locations to improve retail margins
Rapidly ingest all point-of-sale data sources and types at scale to derive real-time insights that tackle pressing in-store information needs.
We’ve partnered with leading consulting firms to deliver innovative, industry-specific solutions. Databricks Brickbuilder Solutions help you cut costs and increase value from your data. Backed by decades of industry expertise — and built for the Databricks Lakehouse Platform — Brickbuilder Solutions are tailored to your exact needs.
Unified View of Demand
Maximize accuracy, granularity and timeliness with a single-source-of-truth demand plan.
Revenue Growth Management
Rapidly perform analysis of invoice data, external market data, news and web scraping data to explore retail patterns.
Trellis
Solve challenges around demand forecasting, replenishment, procurement, pricing and promotion services.
“We’re now able to combine, on a customer level, information about purchases made online and offline, which was very challenging before. This omnichannel view allows us to create a more comprehensive recommendation engine online, which has seen tremendous engagement.”
— Wendell Kuling, Manager of Data Science and Analytics, Jumbo
“Databricks enables us to outperform and deliver best-in-class customer experiences in every market. With its Lakehouse Platform, our stakeholders and developers can work more collaboratively and unlock critical trends and insights needed to serve our 180 million customers.”
— Sergiy Tkachuk, Head of Data Science, Reckitt
“More business units are using the platform in a self-service manner that was not possible before. I can’t say enough about the positive impact that Databricks has had on Columbia.”
— Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear