Use Cases

Explore the prediction tasks and business applications BaseModel powers out of the box.

By Prediction Type

Regression

"How much?"
- Lifetime Value: Total future spend
- Next Purchase: Order amount
- Engagement: Sessions next month
- Time to Event: Days until action
Binary Classification

"Will they or won't they?"
- Churn: Will they stop buying?
- Renewal: Will they renew?
- Upsell: Will they upgrade?
- No-Show: Will they show up?
Multiclass Classification

"Which single category?"
- Best Promotion: Which offer they'd buy?
- Favorite Brand: Which one they love?
- Best Channel: Preferred way to reach
- Color Preference: Most chosen color
Multilabel Classification

"Which categories apply?"
- Cross-sell: Propensity per category
- Service Adoption: Add-ons they'll opt into
- Content Interests: Topics they'll engage with
- Feature Uptake: Features they'll try
Recommendation

"What items?"
- Products: Top items to suggest
- Next Basket: Items they'll buy together
- Content: Articles they'll read
- Offers: Best-fit promotions

Retail & E-commerce
- Customer churn prevention
- Product recommendations
- Next basket prediction
- Customer lifetime value
- Category affinity
Financial Services
- Loan propensity
- Credit card spend prediction
- Attrition risk
- Cross-sell opportunities
- Fraud detection
Subscription & SaaS
- Subscription churn
- Upgrade propensity
- Feature adoption
- Engagement scoring
Media & Entertainment
- Content recommendations
- Subscriber retention
- Ad response modeling
Telecommunications
- Churn prediction
- Plan upgrade propensity
- Usage forecasting
- Service adoption

Good Fit
- Behavioral / event data (transactions, clicks, sessions)
- Entity-level predictions (customers, users, accounts)
- Multiple prediction tasks from one dataset
- Need for interpretable predictions
May Not Fit
- Mostly static data / limited event history
- Very small datasets (<10K entities)