Consumer 360
- Customer profiles, viewing history, online activity, content sources, channels. Model and find right customers
- Behavioral segmentation
- Classical segmentation
- GDPR/CCPA compliance
Propensity to Buy
- Customer profiles, online activity, content distribution, services data. Identify the patterns, and moments with highest likelihood of intent
- Propensity modelling
- Behavioral propensity
Personalization
- Consumption logs, clickstream and devices, mktg. campaign responses. Enhance user experience with machine learning
- Real time content recommendation
- User cold start
- Product landing optimization
- Search enhancement
- Suggested items / basket
- A/B testing
Promotions
- Transactions, subscriptions, demographics, credit data. Drive incremental revenue through targeted suggestions
- Next best offer
- In app/in experience offer management
- Real time customer winback
LTV / CLV and Churn
- Content metadata, ratings, comments, social media activity. understand and retain high value customers
- Customer lifetime value
- Survivorship / Churn
- Promotion spend analysis
- Return to promotion spend
Real Time Inventory
- Provide visibility into inventory from across multiple source systems. Single point of truth for inventory status.
Demand Forecasting
- Improve accuracy in understanding customer demand. Reduce shrink, spoilage and list sales.
Returns Protection
- Reduce the likelihood of returns. Minimize re-handling and disposal costs
Safety Stock
- Reduce excess inventory and avoid lost sales from inventory disruptions. Improve working
- On shelf availability:
- Ensure product is available to Avoid lost sales and brand reputation.