Customer Feedback Analysis Automation

Main Use Cases:

1. Collect customer feedback after visiting the store and purchasing items.
2. Store ratings and comments in Google Sheets for analysis.
3. Use AI to classify sentiment (Positive, Neutral, Negative).
4. Send a thank-you email automatically to customers.
5. Update sentiment analysis results in the same Google Sheet.

How It Works:

This workflow helps retail businesses automate the collection, analysis, and acknowledgment of customer feedback, ensuring improved service and customer satisfaction.

1. Feedback Form (Form Trigger)

• Customers submit their feedback through an online form with fields like:
  • Name
  • Email
  • Overall Shopping Experience (1–5)
  • Product Quality (1–5)
  • Discounts & Offers (1–5)
  • Pricing vs Product Quality (1–5)
  • Written feedback on quality, discounts, and overall experience

2. Store Responses in Google Sheets

• All feedback is logged into Google Sheets for tracking and reporting.

3. AI Sentiment Analysis

• AI reviews ratings and text responses to classify feedback as:
  • Positive
  • Neutral
  • Negative
• Provides sentiment for each feedback category (shopping, quality, discounts, pricing).

4. Automated Thank-You Email

• Customers receive a personalized thank-you email after submitting their review.
• Builds trust and improves customer retention.

5. Update Sentiment in Google Sheets

• The sentiment results are updated in the same sheet alongside the customer’s responses.
• Helps the retail team quickly identify negative feedback for follow-up.

Improve Retail Experience with Automated Feedback:

Automating customer feedback ensures every shopper is acknowledged, while sentiment analysis highlights areas for improvement. Combine this workflow with our AI-Powered Automation Solutions for Retail to boost loyalty, refine products, and enhance the overall shopping experience.