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Smart Notification System Template

Template for AI-driven notifications: prioritisation, deduplication, personalisation. Email, push, in-app.

This template describes a notification system where AI prioritises, deduplicates and personalises. Reduces notification fatigue and increases engagement.

Variations

Prioritised Alerts

AI classifies notifications by urgency. Only high-priority to push, rest to digest.

Best for: B2B apps with many events; users want no spam.

Personalised Digest

AI generates daily/weekly digest with relevant updates. LLM writes summary.

Best for: Content platforms, project tools, analytics.

How to use

Step 1: Collect all event types that trigger notifications. Step 2: Build classifier for urgency (rule-based or ML). Step 3: Implement deduplication (similar events within window = 1 notification). Step 4: For digest: aggregate, generate summary with LLM. Step 5: Choose channel per priority (push, email, in-app). Step 6: Measure click-through and adjust.

Further reading

AI Chatbot template

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AI Software for InsurTech

AI for insurers: claims automation, risk assessment, chatbots. AVARC Solutions builds smart InsurTech solutions.

Frequently asked questions

Start with rules. Use feedback (clicks, dismissals) to train ML model. We build both.

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