Day 4 — Implementing Intelligent Alerts

Day 4 — Implementing Intelligent Alerts

Day_004_Intelligent_Alerts.md

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+# 📅 Day 4 — Implementing Intelligent Alerts
+
+## 🎯 Goal
+Make the workflow proactive — detect issues automatically and notify the right people.
+
+---
+
+## 🧩 Tasks
+
+### 1. Branch the Workflow
+- After the Python node, create two branches:
+  - One for **reporting/storage**.
+  - One for **alerts**.
+
+---
+
+### 2. Define Alerting Logic
+- Add an **If Node**.
+- Configure the following conditions:
+  - `avg_sentiment_score < -0.4`
+  - `num_negative_reviews > 5`
+
+---
+
+### 3. Craft Alert Message
+- Add a **Set Node** on the “True” branch.
+- Example:
+🚨 URGENT: Negative Sentiment Spike!
+Product: {{ $json.product_name }}
+Avg Sentiment: {{ $json.avg_sentiment_score }}
+Please investigate immediately.
+
+yaml
+Copy code
+
+---
+
+### 4. Configure Alert Notification
+- Add a **Slack Node** connected to the alert.
+- Send the alert to a **high-priority channel** like `#ecommerce-alerts`.
+- Optionally, tag users (`@channel`) for instant visibility.
+
+---
+
+## ✅ Deliverable
+A proactive alerting system that:
+- Detects negative sentiment or unusual review spikes.
+- Sends urgent alerts directly to Slack.