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Delaverse AI Platform v2.0

Google Sheets Node

Transform your spreadsheet data into powerful automation workflows. Import customer records, export AI analysis results, and maintain synchronized data across your entire business ecosystem.

Powerful Spreadsheet Integration

The Google Sheets Node integrates with Google Sheets to manage tabular data, such as customer records, sales data, or inventory levels. It supports both data import for analysis and export for reporting, providing seamless connectivity between your spreadsheets and automated workflows.

Whether you're managing customer databases, tracking inventory levels, or generating analytical reports, the Google Sheets node ensures your workflows have access to structured data while maintaining real-time synchronization and interoperability.

Core Functionality

The Google Sheets Node provides comprehensive spreadsheet integration capabilities that enable seamless data management across your automation workflows:

Data Import

Retrieves structured data such as customer lists, shipment statuses, and inventory records from Google Sheets for workflow processing and analysis.

Common Applications:

Customer database import
Inventory level tracking
Sales record retrieval
Shipment status monitoring

Data Export

Saves AI-generated results including lead scores, forecasts, and analytical outputs as structured tables directly to Google Sheets for easy sharing and collaboration.

Common Applications:

Lead scoring results
Sales forecast tables
Analytics reports
Automated data compilation

Dynamic Syncing

Updates data in real-time through Function Call node integration, ensuring workflows always access the most current information and maintain data accuracy.

Common Applications:

Real-time inventory updates
Live customer data sync
Dynamic report generation
Instant data synchronization

Structured Data Management

Provides comprehensive tabular data management capabilities with support for complex data structures, filtering, and organized information handling.

Common Applications:

Complex data filtering
Multi-column processing
Structured data organization
Advanced table operations

Configuration Guide

Setting up the Google Sheets Node requires authentication and proper spreadsheet configuration. Follow these steps to establish seamless data integration:

1

Adding the Node

Select Google Sheets Node from the Playground menu and drag it onto the canvas.
Assign a descriptive title, e.g., Customer Database for lead management or Inventory Data for logistics.
Position the node strategically within your workflow for optimal data flow and processing.
2

Google Authentication

Click the node to initiate the authentication process with Google Sheets.
Log in with your Google account and authorize Delaverse access to your Google Sheets.
Grant necessary permissions for reading and writing spreadsheet data as required by your workflow.
Create a new sheet anytime through the integrated interface for immediate use.
3

Data Setup

For import: Structure your sheet with relevant columns like name, phone, email, or stock level for data retrieval.
For export: Prepare a specific blank sheet for AI outputs such as lead category, delay status, or analysis results.
Organize your data with clear headers and consistent formatting for optimal processing.
Click Update to sync the sheet and ensure data accessibility within your workflow.
4

Connections and Integration

Output: Connect to Vector Database or AI Assistant for data processing (only through Function Call node for read operations).
Example: In Lead Management workflows, connect to Vector Database for RFM analysis and customer segmentation.
Ensure proper data flow between nodes for seamless spreadsheet operations and analysis.
5

Saving Changes

Click Save Changes to apply all configurations and authentication settings.
Close the editor using the interface controls to return to the main workflow canvas.
Test the connection to ensure proper integration with your Google Sheets account and data access.

Node Appearance

The Google Sheets Node features the familiar Google Sheets interface design with clear spreadsheet integration indicators:

Google Sheets Node

The Google Sheets Node with its spreadsheet interface and data management capabilities

Spreadsheet Integration Features

The Google Sheets Node offers comprehensive features for seamless spreadsheet integration and automated data management:

Tabular Data Processing

Handle complex spreadsheet structures with multiple columns, rows, and data types

Real-Time Collaboration

Support for Google Sheets collaborative features with shared access and editing

Data Validation

Automatic data type validation and error handling for reliable data processing

Flexible Import/Export

Bidirectional data flow supporting both data retrieval and result storage

Example Configuration: Customer Lead Management

Here's a comprehensive example of how to configure a Google Sheets Node for customer lead management and RFM analysis:

Google Sheets Node Configuration: Customer Lead Management

Node Title: "Customer Database Hub"
Authentication: Google Workspace Account Connected

Spreadsheet Setup:
- Import Sheet: "Customer Lead Database"
  Columns: Name | Email | Phone | Last Purchase | Purchase Amount | Category
  Sample Data:
  Ali Mohammadi | ali@example.com | +98912345678 | 2024-01-15 | 15000000 IRR | Premium
  Sara Ahmadi | sara@example.com | +98912345679 | 2024-02-10 | 8500000 IRR | Standard
  
- Export Sheet: "RFM Analysis Results" 
  Columns: Customer Name | Email | Recency Score | Frequency Score | Monetary Score | RFM Category | Priority Level
  Purpose: AI-generated lead scoring and categorization results

Connection Configuration:
- Input: Function Call Node (for analysis results export)
- Output: Vector Database Node (for customer data processing)
- Integration: AI Assistant Node (for RFM analysis execution)

Workflow Process:
1. Import customer data from "Customer Lead Database" sheet
2. Process data through Vector Database for analysis preparation
3. Execute RFM analysis using AI Assistant Node
4. Export scored results to "RFM Analysis Results" sheet
5. Enable real-time sync for dynamic updates

Data Format:
- Import: Structured customer records with purchase history
- Export: AI-generated scores and categorizations
- Sync: Real-time updates through Function Call Node

Access Level: Team collaboration enabled
Sync Status: Active and synchronized
Last Update: 2024-03-12 14:30:00

Key Features of This Configuration:

Structured customer data import
AI-generated analysis export
RFM scoring integration
Real-time synchronization
Team collaboration enabled
Multi-column data processing

Common Use Cases

Discover how different organizations leverage the Google Sheets Node for their data-driven workflows:

Lead Management

Customer data import → RFM analysis → Lead scoring export → Sales prioritization

Inventory Control

Stock level import → Analysis processing → Reorder recommendations → Update tracking

Sales Analytics

Sales data import → Trend analysis → Forecast generation → Results export

Data Synchronization

Multi-source import → Data consolidation → Real-time updates → Unified reporting

Pro Tips for Google Sheets Integration

Use Function Call node for real-time synchronization to ensure your workflows always access the latest spreadsheet data
Structure your spreadsheets with clear headers and consistent data types for optimal processing and analysis
Create separate sheets for import and export to maintain data organization and prevent accidental overwrites
Leverage Google Sheets collaboration features for team-based workflows and shared data access

Ready to Power Your Workflows with Google Sheets?

The Google Sheets Node transforms your spreadsheet data into powerful automation workflows. Import customer records, export AI analysis, and maintain synchronized data across your entire business ecosystem.