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Delaverse AI Platform v2.0

AI Analyzer Node

Your comprehensive business intelligence engine. Analyze complex data patterns, extract key metrics, and generate strategic insights for informed decision-making.

Advanced Analytics & Business Intelligence

The Analyzer Node is a specialized AI node designed for comprehensive, periodic analysis of data and interactions, typically connected to a Container Node. Unlike the AI Assistant Node, which focuses on task-specific outputs, the Analyzer Node aggregates data from multiple sources and user interactions to produce high-level insights, key metrics, and strategic recommendations.

This node excels at identifying patterns, calculating complex metrics, and providing predictive insights that help businesses make data-driven decisions. It's your go-to solution for periodic business analysis and comprehensive reporting.

Core Analytical Capabilities

The Analyzer Node transforms raw data into actionable intelligence through these powerful analytical functions:

Aggregated Analysis

Combines data from workflows (e.g., logistics, inventory) and interaction history (e.g., Telegram chats) for holistic insights across multiple business processes.

Common Examples:

Cross-department performance analysis
Multi-source data correlation
Workflow integration insights
Historical trend compilation

Key Metrics Extraction

Calculates important business metrics like delay percentages, inventory turnover, or task completion rates from complex datasets.

Common Examples:

Delay percentage calculations
Inventory turnover rates
Task completion metrics
Performance KPI tracking

Trend Analysis

Identifies patterns over time, such as recurring logistics delays or seasonal inventory trends to provide strategic insights.

Common Examples:

Seasonal pattern recognition
Recurring issue identification
Performance trend tracking
Cyclical behavior analysis

Predictive Insights

Forecasts future outcomes, such as inventory shortages or project bottlenecks based on historical data patterns.

Common Examples:

Inventory shortage predictions
Project bottleneck forecasting
Demand forecasting
Risk assessment modeling

Strategic Recommendations

Suggests actionable improvements, like reordering stock or rerouting shipments based on comprehensive analysis.

Common Examples:

Stock reordering suggestions
Process optimization recommendations
Resource allocation advice
Workflow improvements

Configuration Guide

Setting up the Analyzer Node requires careful planning as it typically works with Container Nodes and multiple data sources. Follow these steps:

1

Adding the Node

From the right-hand menu, select "Analyzer Node" and drag it onto the Playground canvas.
Assign a title reflecting its purpose, e.g., "Comprehensive Analyzer" for logistics insights or "Business Intelligence Analyzer".
2

Model Selection

Choose a supported AI model (e.g., Open AI), optimized for complex data analysis.
The model is specifically configured for handling large datasets and generating analytical insights.
3

Instruction Setup

Select a pre-built template like "Logistics and Inventory Management" or customize instructions for periodic analysis.
Focus on aggregated analysis rather than task-specific outputs.
Include data sources, analysis goals, output format, and tone specifications.
4

Container Connection

Input: Connect to a Container Node that encapsulates other workflow nodes (Google Sheets, Request API, Telegram).
The Container Node provides aggregated data from multiple sources for comprehensive analysis.
Output: Connect to Telegram for report delivery.
5

Dashboard Integration

Configure Frame Chat Analytics Dashboard for interactive data visualization.
Set up API keys and dashboard access for real-time analytics viewing.
Enable conversation analysis and statistical tracking features.
6

Saving Changes

Click "Save Changes" to apply your configuration.
Close the node editor using the top-left "X" button.
Test the analysis workflow with sample data.

Node Appearance

The Analyzer Node features a distinctive blue analytical design with specialized connection points for complex data flows:

AI Analyzer Node

The Analyzer Node with its distinctive blue color and analytical intelligence indicator

Frame Chat Analytics Dashboard

The Analyzer Node integrates with Frame Chat to provide a comprehensive analytics dashboard for real-time data visualization and interaction monitoring:

Message Count Charts

Visual displays of message exchanges, filterable by time periods (weekly, monthly, yearly)

Statistical Boxes

Key metrics including total conversations, unique users, and message volumes

Conversation Analysis

Advanced analytics for sentiment analysis and query pattern recognition

Recent Interactions

Live feed of user interactions with update and load more functionality

Dashboard Setup Process

1
Click the Frame Chat Node and navigate to the Code tab to copy the API key
2
Click Analyze button to open the dashboard page and enter the API key
3
Access comprehensive analytics including message counts, user engagement, and conversation analysis

Instruction Components

Analyzer Node instructions should include these essential components for comprehensive analytical results:

Data Sources

Reference the Container Node for aggregated data (logistics, inventory, Telegram interactions)

Analysis Goals

Specify periodic analysis objectives, e.g., "Calculate delay percentages and predict inventory needs"

Output Format

Typically text for Telegram or structured data for Google Sheets/Docs with metrics and recommendations

Tone and Language

Persian, professional, and friendly tone for business stakeholders

Metrics Definition

Define key performance indicators and calculation methods for analysis

Historical Context

Store data history for comparative reports and trend analysis

Example Instruction: Smart Logistics & Inventory Analysis

Here's a complete example instruction for comprehensive logistics and inventory analysis with the Analyzer Node:

You are an AI assistant for comprehensive logistics and inventory analysis. Your goal is to analyze logistics/inventory data and manager interactions with the Telegram bot to produce key metrics and periodic reports.

- Retrieve data including:
  - Logistics: shipment codes, status, delays.
  - Inventory: product codes, stock levels, sales rates.
  - Telegram: manager-bot conversation history.

- Perform analysis:
  - Key Metrics: % delays, inventory turnover, low/high-stock products.
  - Periodic Trends: Changes in delays or stock over weeks/months.
  - Advanced Predictions: Forecast delays or stock needs based on trends.
  - Recommendations: Suggest optimizations (e.g., reorder 200 units of X).

- Output as text for Telegram, with Persian, professional, friendly tone.
- Store data history for comparative reports.
- If the data is not enough, say: "Insufficient data available for periodic analysis."

Sample output:
"Monthly report: 5% of shipments of product X were out of stock in 3 weeks. Suggestion: Order 200 units of X. 😊"

Key Features of This Analytical Instruction:

Multi-source data aggregation
Comprehensive metrics calculation
Predictive analysis capabilities
Actionable recommendations
Historical data storage
Localized output format

Common Use Cases

See how organizations leverage the Analyzer Node for comprehensive business intelligence:

Logistics Intelligence

Aggregate shipment data → Analyze delays → Predict bottlenecks → Recommend optimizations

Inventory Management

Collect stock data → Calculate turnover → Forecast shortages → Suggest reordering

Business Analytics

Gather multi-source data → Extract KPIs → Identify trends → Generate insights

Performance Monitoring

Monitor operations → Track metrics → Analyze patterns → Provide recommendations

Pro Tips for Effective Analysis

Always connect to a Container Node for comprehensive data aggregation
Define clear metrics and KPIs before configuring analysis parameters
Set up periodic analysis schedules for consistent business intelligence
Utilize the Frame Chat Dashboard for visual insights and real-time monitoring

Ready to Transform Your Data into Intelligence?

The Analyzer Node is your gateway to comprehensive business intelligence. Whether you're monitoring logistics, analyzing inventory trends, or tracking performance metrics, this powerful node delivers the insights you need.