Skip to main content

Databricks for Retail and Consumer Goods

Scale AI, apps and agents across the whole business on unified data

Databricks for Retail and Consumer Goods
USE CASES

Your data, your AI, your future

AI only delivers when it's built on unified, governed data. See how retail and CPG leaders are using Databricks AI, apps and agents to drive growth, margin and operational speed across the business.

Respond to and predict customer behavior in real time

Provide a unified customer view

Unify customer data across POS, e-commerce, loyalty and other sources to create customer 360 profiles that power omnichannel personalization.

Get inspired by retail leaders

 

Deliver real-time personalization

Use customer signals to deliver recommendations, offers and experiences that increase conversion, basket size and customer lifetime value.

How AI is redefining customer engagement

 

Power agentic commerce

Deploy conversational AI agents that guide product discovery, answer questions and support transactions with real-time inventory and context.

 

Support retail media networks

Offer advertisers first-party data ad targeting, real-time campaign optimization and closed-loop metrics across digital and in-store channels.

Reimagine retail media networks

Drive profitable volume growth

Implement dynamic pricing

Use real-time demand, inventory, competitive pricing and margin signals to optimize pricing decisions across products, channels and markets.

How AI can reshape revenue strategy

 

Improve trade promotion

Plan, forecast and measure promotions to improve incrementality, protect margin and identify which mechanics drive profitable growth.

Hear from retail’s leading marketers

 

Real-time shelf intelligence

Analyze store-level demand, product affinity and sell-through trends to optimize assortments, shelf allocation and revenue per square foot.

Solve for on-shelf availability

 

Next-gen pricing models

Measure price elasticity, promotion lift and post-promotion ROI to improve pricing strategy, vendor negotiations and future campaign performance.

Explore the solutions

Build a collaborative supply chain

Forecast demand

Combine historical sales, promotions, weather, events and real-time demand signals to generate more accurate store-SKU-level forecasts.

Explore fine-grained demand forecasting

 

Intelligent inventory

Optimize safety stock, reorder points and allocation across the distribution network to reduce stockouts, excess inventory and carrying costs.

See the agentic revolution

 

Detect supply chain risk

Monitor internal and external supply chain signals to detect disruptions earlier, protecting availability and customer trust.

Test supply chain networks at scale

 

Collaborate with suppliers

Share governed forecasts, sell-through data, inventory positions and supplier scorecards to improve planning and supply chain performance.

The collaboration advantage

Create an intelligent in-store experience

Augment employees with mobile AI tools

Equip associates with real-time product, inventory, customer and recommendation insights to improve service and in-store conversion.

 

Deploy connected stores and smart shelfs

Analyze IoT, RFID, computer vision and smart shelf signals to detect out-of-stocks, trigger replenishment and improve shelf availability.

See the transformation

 

Enhance workforce and store performance

Unify foot traffic, labor schedules, conversion rates and task data to optimize staffing, store execution and workforce productivity.

 

Make predictive stores a reality

Use equipment, POS and operational data to predict maintenance needs, reduce downtime and prevent disruptions across stores.

CUSTOMER STORIES

Stand out with AI built on your data

Retail and Consumer Goods partner ecosystem

An ecosystem of retail, consumer goods, cloud and data partners helping brands personalize experiences, optimize supply chains and drive AI-powered growth at scale.

Resources

Webinar

AI Hype to AI in Production

eBook

Retail Business with AI

Whitepaper

Retail Staff with GenAI

FAQ