Automated Fuel Price Monitoring & Analysis
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Streamline your fuel price tracking with this automated n8n workflow. It captures, processes, and analyzes fuel price data using advanced AI capabilities, providing actionable insights and logging critical information.
About This Workflow
The Fuel Price Monitor n8n workflow automates the process of tracking and analyzing fuel prices. It begins by receiving fuel price data via a webhook, then intelligently splits and embeds this information using Hugging Face embeddings. The data is stored and indexed in Weaviate for efficient querying. An Anthropic LLM powered agent then analyzes the data, utilizing memory and tools to understand trends and respond to queries. Finally, all monitored data and insights are logged to a Google Sheet for comprehensive record-keeping and further analysis. This solution is ideal for businesses needing to stay ahead of market fluctuations and make informed purchasing decisions.
Key Features
- Real-time Data Ingestion: Capture fuel price data automatically via a webhook.
- AI-Powered Analysis: Leverage Hugging Face embeddings and an Anthropic LLM for intelligent data interpretation.
- Vector Database Integration: Store and query data efficiently using Weaviate for rapid retrieval of price trends.
- Conversational Interface: Interact with the system to query fuel price information and gain insights.
- Automated Logging: Seamlessly log all monitored data and analyses to Google Sheets for a complete audit trail.
How To Use
- Webhook Setup: Configure the 'Webhook' node to receive incoming fuel price data at the
/fuel_price_monitorendpoint. - Data Processing: Customize the 'Splitter' node's
chunkSizeandchunkOverlapparameters for optimal text segmentation. - Embedding & Storage: Ensure your 'HuggingFace API' credentials are set up for the 'Embeddings' node. Configure the 'Insert' and 'Query' nodes with your Weaviate API credentials and set
indexNametofuel_price_monitor. - AI Agent Configuration: Connect the 'Query' node's output to the 'Tool' node, and link the 'Tool' node to the 'Agent' node. Ensure your 'Anthropic API' credentials are provided for the 'Chat' node.
- Logging: Set up your Google Sheets credentials in the 'Sheet' node and specify your
SHEET_IDandLogsheet name to store the monitoring results.
Apps Used
Workflow JSON
{
"id": "40b41316-aa42-40ca-9537-a1cb3e8380a7",
"name": "Automated Fuel Price Monitoring & Analysis",
"nodes": 29,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 40b41316-aa42...
About the Author
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Connecting CRM, Notion, and Slack to automate your life.
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