Automated Customer Order Analysis Across Multiple Years
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This n8n workflow automates the comparison of customer order data across different years, enabling businesses to quickly identify trends and patterns. By connecting to your MySQL database, it fetches and analyzes order volumes and values for specific periods, providing valuable insights.
About This Workflow
This powerful n8n workflow is designed to streamline customer order analysis by comparing data across distinct year ranges. It leverages MySQL queries to extract order summaries (total amount and count) for specific customer segments and then utilizes the Compare Datasets node to meticulously identify overlaps and differences. By default, it compares orders from '2003 and 2004' against '2004 and 2005', specifically merging based on 'customerNumber' and 'year'. A subsequent Set node is included to adjust an 'ordercount' parameter, allowing for further customization. This workflow is ideal for understanding customer behavior shifts and identifying growth opportunities over time.
Key Features
- Cross-Year Data Comparison: Analyze customer order data across different historical periods.
- Automated Data Extraction: Directly query your MySQL database for precise order information.
- Granular Analysis: Compares data based on customer number and year for detailed insights.
- Customizable Parameters: Easily adjust query parameters and node settings for specific analytical needs.
- Trend Identification: Uncover customer purchasing patterns and year-over-year changes.
How To Use
- Trigger Workflow: Initiate the workflow by manually clicking "Execute Workflow" (manualTrigger node).
- Fetch First Dataset: The "Orders from 2003 and 2004" node executes a MySQL query to retrieve order data for customers in 2003 and 2004, grouping by customerNumber and year.
- Fetch Second Dataset: The "Orders from 2004 and 2005" node performs a similar query for orders placed in 2004 and 2005.
- Adjust Order Count: The "Change ordercount" node allows you to modify a specific parameter, such as setting 'ordercount' to 1 for potential further processing or filtering.
- Compare Datasets: The "Compare Datasets" node takes the outputs from the previous two nodes and merges them, comparing records based on 'customerNumber' and 'year'. It's configured to find 'all' multiple matches. This step is crucial for identifying common customers and their order patterns across the two periods.
Apps Used
Workflow JSON
{
"id": "d9a3b560-edb8-4ccc-8b50-cd2aaae1e14a",
"name": "Automated Customer Order Analysis Across Multiple Years",
"nodes": 16,
"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: d9a3b560-edb8...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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