Data analytics and machine learning in retail and consumer goods
Winning market share and reducing costs by better understanding retail consumers


Hear how Starbucks uses Databricks to perform fine-grained forecasting
The leading consumer brands use Databricks to innovate faster, manage their businesses & deliver more personal experiences.
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Why Databricks for Retail & CPG

Deliver high-impact analytics in tight SLAs
Databricks enables customers to deliver the most demanding of analytics to the front-line in your service windows. Need to allocate inventory or predict on-shelf availability for every store and SKU today? It’s not a problem.

Power personalized experiences with real-time data
Real-time awareness drives higher relevancy in recommendations, leading to higher incrementality and stronger customer satisfaction. Databricks enables companies to incorporate batch and real-time data of all types to power your e-commerce and mobile experiences.

Greater agility leads to improved resiliency
In this era of volatility, retailers and consumer goods companies need a platform that enables them to respond to changes in real-time. Deliver new insights and analytics in days and weeks, not months with your traditional warehouse.
Anwendungsfälle
From in-store to mobile, consumers are expecting personalized omnichannel experiences. With Databricks, retailers and consumer brands can truly support a 360 understanding of their customers and have a real-time view of their supply chain.
Supply Chain Inventory
Supply Chain Control Tower
Time series forecasting
Causal forecasting
Safety stock analysis
On-shelf availability (OSA)
SKU rationalization
Personalization
Consumer segmentation
Customer lifetime value
Survival analysis & churn
Propensity to buy
A/B testing
Personalized recommendations
Pricing & Promotion Optimization
Dynamic pricing
Price optimization
Promotion optimization
Promotion effectiveness