This workflow automates the end-to-end analysis of WooCommerce product reviews, transforming raw customer feedback into actionable product and customer-care insights, and delivering them in a structured, visual, and shareable format.

This workflow analyzes product review sentiment from WooCommerce using AI. It starts by retrieving reviews for a specified product via the WooCommerce.

Each review then undergoes sentiment analysis using LangChain's Sentiment Analysis. The workflow aggregates sentiment data, creates a pie chart visualization via QuickChart, and compiles a comprehensive report using an AI Agent.

The report includes executive summaries, quantitative data, qualitative analysis, product diagnostics, and operational recommendations. Finally, the AI-generated report is converted to HTML and emailed to a designated recipient for review by customer and product teams.

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Key Advantages

1. ✅ Full Automation of Review Analysis

Eliminates manual work by automating data collection, sentiment analysis, reporting, visualization, and delivery in a single workflow.

2. ✅ Scalable and Reliable

Batch processing ensures the workflow can handle dozens or hundreds of reviews without performance issues.

3. ✅ Action-Oriented Insights (Not Just Sentiment)

Instead of stopping at sentiment scores, the workflow produces:

• Root-cause hypotheses
• Concrete improvement actions
• Prioritized recommendations (P0 / P1 / P2)
• Measurable KPIs

4. ✅ Combines Quantitative and Qualitative Analysis

Merges hard metrics (averages, distributions, outliers) with qualitative insights (themes, risks, opportunities), giving a 360° view of customer feedback.

5. ✅ Visual + Narrative Output

Stakeholders receive both:

• Visual sentiment charts for quick understanding
• Structured written reports for strategic decision-making

6. ✅ Ready for Product & Customer Care Teams

The output format is tailored for non-technical teams:

• Clear language
• Masked personal data (GDPR-friendly)
• Immediate usability in meetings, emails, or documentation

7. ✅ Easily Extensible

The workflow can be extended to:

• Run on a schedule
• Analyze multiple products
• Store results in a database or CRM
• Trigger alerts for negative sentiment spikes

Ideal Use Cases

• Continuous monitoring of product sentiment
• Supporting product roadmap decisions
• Identifying customer pain points early
• Improving customer support response strategies
• Reporting customer voice to stakeholders automatically

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How it works

1. Manual Trigger & Configuration The workflow starts manually and sets the target WooCommerce product ID and store URL.

2. Data Retrieval from WooCommerce

   • Fetches all reviews for the selected product via the WooCommerce REST API.
   • Retrieves product details (name, description, categories) to enrich the analysis context.

3. Batch Processing of Reviews Reviews are processed in batches to ensure scalability and reliability, even with a large number of reviews.

4. AI-Powered Sentiment Analysis

   • Each review is analyzed using an OpenAI-based sentiment analysis model.

   • For every review, the workflow extracts:

     • Sentiment category (Positive / Negative / Neutral)
     • Strength (intensity)
     • Confidence (reliability of the classification)

5. Data Normalization & Aggregation

   • Review text is cleaned and structured.
   • Sentiment data is aggregated to compute overall distributions and metrics.

6. Visual Sentiment Distribution

   • A pie chart is dynamically generated via QuickChart to visually represent sentiment distribution.

7. Advanced AI Insight Generation A specialized AI agent (“Product Insights Analyst”) transforms the raw and aggregated data into a professional, structured report, including:

   • Executive summary
   • Quantitative statistics
   • Qualitative themes
   • Product diagnosis
   • Operational recommendations
   • Product backlog ideas
   • Next steps

8. HTML Conversion & Delivery

   • The report is converted into clean HTML.
   • The final output is automatically sent via email to stakeholders (e.g. product or customer care teams).

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Set up steps

1. Configure credentials:

   • Set up WooCommerce API credentials in the HTTP Request node.
   • Add OpenAI API credentials for both sentiment analysis and reporting.
   • Configure Gmail OAuth2 credentials for sending the final email report.

2. Set parameters:

   • In the "Product ID" node, replace PRODUCT_ID and YOUR_WEBSITE with actual product ID and WooCommerce site URL.
   • Update the recipient email address in the "Send a message" node.

3. Optional adjustments:

   • Modify the pie chart design in the "QuichChart" node if needed.
   • Adjust the report structure or language in the "Product Insights Analyst" system prompt.

4. Run the workflow:

   • Click "Execute workflow" on the manual trigger to start the process.
   • Monitor execution in n8n to ensure all nodes process correctly.

Once configured, the workflow will automatically analyze product reviews, generate insights, and deliver a formatted report via email.

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Need help customizing?

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