CustomerAI
Retail Customer Analytics & Predictive Marketing Solution built on Snowflake using AI/ML.
CustomerAI Use Cases
Optimize your marketing spending using Customer data
Predict demand to optimize inventory and pricing
Increase profitability with dynamic pricing & discounting
Predict individual recommendations for each customer
Predict Customer Value and value-based marketing
Realign your products by measuring customer satisfaction
Features and Benefits
Solution Architecture
Snowpark ML Models
RFM Analysis and Customer Segmentation
- Target customers to increase Share of Wallet (SOW)
- Marketing strategies for first time buyers and lapsed customers
Customer Lifetime Value (CLV)
- Helps drive loyalty programs to retain valuable customers
- Targeted marketing to future customers based on CLV
Product Recommendations
- Data-driven personalized product recommendations
- New opportunities for promotion, upsell, cross-sell, and profitability
Dynamic Pricing and Demand Forecasting
- Increase profitability with dynamic pricing and discounting
- Predict demand to optimize inventory and pricing
Marketing Channel Attribution
- Optimize marketing spends
- Test new strategies for conversion
Customer Satisfaction and Product NPS
- Measure the likelihood of repeat business
- Predict Customer Churn and define retention strategy
Benefits with Snowflake
Cost Savings up to 30%
Lower Data Ingestion, BI, and IT costs; Ease of maintenance with SQL/Python developers.
Meeting SLAs
Better performance with lightning-fast analytics. Model performance improved by 20x.
Increase in Revenues
Secure Data sharing with business units and partners.
Improved Merchandising decisions
The Retail Data Cloud lets retailers and manufacturers access, govern, and share data.
Robust Data Security
Built-in Enterprise Data Governance with Snowflake stack
