## 🎯 Goal
Persist the processed data for historical analysis and send a **daily summary report** to stakeholders.

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## 🧩 Tasks

### 1. Set Up a Data Destination
- Create a **Google Sheet** or **Database Table**.
- Define columns such as:
Date | ProductID | TotalRevenue | UnitsSold | AvgSentimentScore

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### 2. Store the Processed Data
- Add a **Google Sheets Node** after the Python node.
- Authenticate your Google account.
- Configure it to **Append** new rows.
- Map each field from the Python output to the corresponding columns.

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### 3. Craft the Summary Report
- Add a **Set Node** to create a short summary message.
- Example:
Daily Report: Top product by revenue was {{ $json.product_name }} with ${{ $json.total_revenue }} in sales.

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### 4. Send the Report
- Add a **Slack** or **Email Node**.
- Send the summary to:
- A Slack channel (e.g., #daily-sales-reports), or
- A mailing list for stakeholders.

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## ✅ Deliverable
- The workflow appends daily data to a Google Sheet.
- A formatted summary is sent automatically to Slack or email.