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Overview

Industry templates are ready-made starter kits that provision a complete next-best-action configuration for your vertical. Each template includes categories, offers, qualification rules, 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: 
curl -X POST https://your-instance.kaireonai.com/api/v1/starter-kits/{kit}/apply \
  -H "Content-Type: application/json" \
  -H "X-Tenant-Id: YOUR_TENANT_ID" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "X-Requested-With: XMLHttpRequest"
Replace {kit} with bfsi, retail, or telecom.

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BFSI (Banking, Financial Services, Insurance)

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What is included

ComponentDetails
CategoriesCredit Cards, Personal Loans, Insurance, Savings Accounts, Investment Products
Offers15 pre-configured offers (platinum card, balance transfer, home loan, term insurance, SIP starter, etc.)
Qualification RulesIncome thresholds, credit score gates, existing product suppression, regulatory cooling-off periods
Decision FlowEnrich (credit bureau + account data) -> Score (propensity + profitability) -> Arbitrate (customer lifetime value weighted)
CreativesWeb banner, mobile push, email, and SMS variants per offer
Sample Data500 synthetic customer profiles with account balances, tenure, and transaction history

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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

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Getting started

  1. Apply the template: 
    curl -X POST https://your-instance.kaireonai.com/api/v1/starter-kits/bfsi/apply \
  -H "Content-Type: application/json" \
  -H "X-Tenant-Id: YOUR_TENANT_ID" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "X-Requested-With: XMLHttpRequest"
  2. Open Studio > Decision Flows to review the pre-built flow.
  3. Call the Recommend API with a sample customer ID to see ranked offers.
  4. Customize qualification rules and scoring weights to match your institution’s policies.

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Retail

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What is included

ComponentDetails
CategoriesLoyalty Rewards, Promotions, Seasonal Campaigns, Cart Recovery, New Arrivals
Offers12 pre-configured offers (double points, flash sale, abandoned cart discount, birthday reward, new collection preview, etc.)
Qualification RulesLoyalty tier gates, purchase recency filters, cart abandonment detection, seasonal date windows
Decision FlowEnrich (purchase history + loyalty tier) -> Score (engagement propensity + margin) -> Arbitrate (revenue-per-impression optimized)
CreativesWeb overlay, app push, email digest, and SMS alert variants
Sample Data500 synthetic shoppers with purchase history, browsing behavior, and loyalty status

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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

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Getting started

  1. Apply the template: 
    curl -X POST https://your-instance.kaireonai.com/api/v1/starter-kits/retail/apply \
  -H "Content-Type: application/json" \
  -H "X-Tenant-Id: YOUR_TENANT_ID" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "X-Requested-With: XMLHttpRequest"
  2. Open Studio > Decision Flows to explore the retail flow and adjust scoring weights.
  3. Call the Recommend API to see personalized offers for different loyalty tiers.
  4. Add your own product catalog offers alongside the template defaults.

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Telecom

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What is included

ComponentDetails
CategoriesPlan Upgrades, Data Packs, Churn Prevention, Recharge Reminders, Device Offers
Offers12 pre-configured offers (unlimited plan upgrade, weekend data booster, loyalty retention deal, auto-recharge setup, device trade-in, etc.)
Qualification RulesContract status checks, usage threshold gates, churn risk score filters, device eligibility rules
Decision FlowEnrich (usage data + billing history) -> Score (churn risk + ARPU uplift) -> Arbitrate (retention priority weighted)
CreativesApp notification, SMS, IVR script, and retail store POS variants
Sample Data500 synthetic subscribers with usage patterns, billing data, and device information

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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

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Getting started

  1. Apply the template: 
    curl -X POST https://your-instance.kaireonai.com/api/v1/starter-kits/telecom/apply \
  -H "Content-Type: application/json" \
  -H "X-Tenant-Id: YOUR_TENANT_ID" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "X-Requested-With: XMLHttpRequest"
  2. Open Studio > Decision Flows to review the telecom-specific enrichment and scoring stages.
  3. Test with the Recommend API using different subscriber profiles to see churn-aware ranking.
  4. Connect your CRM or billing system via connectors to replace sample data with live subscriber information.

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Customizing templates

After applying a template, everything is fully editable:
  • Add or remove offers in Studio > Actions
  • Adjust qualification rules in Studio > Qualification Rules
  • Modify scoring weights in the Decision Flow arbitration 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

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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