Overview
Industry templates are ready-made starter kits that provision a complete next-best-action configuration for your vertical. Each template includes categories, offers, decisioning gates, a decision flow, sample customer data, and channel creatives so you can see KaireonAI in action immediately. Apply any template with a single API call:{kit} with banking, retail, or telco. Additional verticals ship too — insurance, healthcare, hospitality, utilities, and media — list them all with GET /api/v1/accelerators.
BFSI (Banking, Financial Services, Insurance)
What is included
Use cases
- Cross-sell — recommend a credit card to savings-only customers based on spending patterns
- Retention — surface loyalty rate offers to customers with declining balances
- Upsell — upgrade existing cardholders to premium tiers based on usage thresholds
- Insurance bundling — pair insurance products with loan disbursals
Getting started
- Apply the template:
- Open Studio > Decision Flows to review the pre-built flow.
- Call the Recommend API with a sample customer ID to see ranked offers.
- Customize decisioning gates and scoring weights to match your institution’s policies.
Retail
What is included
Use cases
- Loyalty program — reward high-value customers with exclusive double-points offers
- Promotions — target discount-sensitive segments with flash sales during low-traffic periods
- Cart abandonment — recover abandoned carts with time-limited incentives
- Seasonal campaigns — automatically activate holiday and back-to-school offers within date windows
Getting started
- Apply the template:
- Open Studio > Decision Flows to explore the retail flow and adjust scoring weights.
- Call the Recommend API to see personalized offers for different loyalty tiers.
- Add your own product catalog offers alongside the template defaults.
Telecom
What is included
Use cases
- Plan upgrades — recommend higher-tier plans to subscribers consistently exceeding their data limits
- Churn prevention — surface retention offers to customers flagged by the churn propensity model
- Data pack offers — push targeted data booster packs during high-usage periods
- Recharge reminders — trigger timely recharge nudges for prepaid subscribers approaching zero balance
Getting started
- Apply the template:
- Open Studio > Decision Flows to review the telecom-specific enrichment and scoring stages.
- Test with the Recommend API using different subscriber profiles to see churn-aware ranking.
- Connect your CRM or billing system via connectors to replace sample data with live subscriber information.
Customizing templates
After applying a template, everything is fully editable:- Add or remove offers in Studio > Offers
- Adjust decisioning gates in Studio > Decisioning Gates
- Modify scoring weights in the Decision Flow ranking stage
- Replace sample data by connecting real data sources in Data > Connectors
- Create experiments in Algorithms > Experiments to A/B test template defaults against your custom configuration
Next steps
- SDK Quickstart — integrate the Recommend and Respond APIs from your application
- API Tutorial — detailed walkthrough of request/response formats
- Computed Values — add dynamic per-customer personalization formulas