Retail and Consumer Packaged Goods



Internet search, content browsing, and social media activities have the potential to reveal deeper customer insights than ever. Your success depends on being able to extract these insights for your customers. Databricks empowers retailers and manufacturers to process data streams from sales, operations, inventory, revenue, and other sources, resulting in improved operations and a more personalized experience, which increases customer acquisition and lifetime value.

Common Use Cases

Product Recommendations

Use machine learning algorithms to infer hidden propensities and recommend next best offers and products to drive customer lifetime value (LTV).

Pricing and Promotion Optimization

Analyze pricing and promotional data to determine when to have sales, when to discount products, etc.

Brand Sentiment Analysis

Analyze how social, advertising, competitor moves, product launches or news stories affect the brand to guide marketing strategies.