Skip to content

Product Review Monitor

Example prompt: "When a new product review comes in on Shopify, analyse the sentiment. Auto-reply to 4-5 star reviews with a thank-you. Route 1-2 star reviews to #support on Slack."

How to automate product review monitoring with GloriaMundo

The Problem

Product reviews arrive at unpredictable times, and most shop owners do not have a system for responding to them consistently. Positive reviews go unacknowledged — missing a chance to build customer loyalty — while negative reviews sit unaddressed for days, visible to every potential buyer browsing the product page. Manually checking for new reviews, reading each one, deciding whether it needs a response, and then writing that response takes real time. For stores with dozens of products and a steady stream of reviews, this monitoring work either gets neglected or consumes hours that could be spent on higher-value tasks.

How GloriaMundo Solves It

We build a workflow that triggers when a new product review is submitted on your Shopify store. An LLM step analyses the review text and star rating to classify the sentiment — positive, neutral, or negative — and identifies any specific product issues mentioned. A conditional step routes the review based on the classification. For positive reviews (4-5 stars), an LLM step drafts a warm, genuine thank-you reply, and an integration step posts it as a response on Shopify. For negative reviews (1-2 stars), the workflow posts the review details, product name, and customer information to #support on Slack so your team can follow up directly. Neutral reviews (3 stars) are logged for periodic review. Glass Box preview shows you every auto-reply and escalation message before it goes live.

Example Workflow Steps

  1. Trigger (webhook): Fires when a new product review is submitted on Shopify.
  2. Step 1 (integration): Fetch the review details — star rating, review text, product name, and reviewer information.
  3. Step 2 (LLM): Analyse the review sentiment and identify any specific complaints or praise points.
  4. Step 3 (conditional): Route based on sentiment — positive (4-5 stars) to auto-reply, negative (1-2 stars) to escalation, neutral (3 stars) to logging.
  5. Step 4 (LLM): For positive reviews, draft a genuine thank-you reply that references something specific from their review.
  6. Step 5 (integration): Post the thank-you reply to the review on Shopify.
  7. Step 6 (integration): For negative reviews, post the full review details and customer information to #support on Slack for follow-up.

Integrations Used

  • Shopify — source of new product reviews and target for posting auto-replies
  • Slack — receives escalation alerts for negative reviews so the support team can act quickly

Who This Is For

E-commerce store owners and customer experience teams who want to respond to every review consistently — thanking happy customers and catching unhappy ones before a bad review drives away future buyers.

Time & Cost Saved

Manually reading and responding to reviews takes roughly 3-5 minutes each. For a store receiving 10-15 reviews per week, that is 30-75 minutes of review management weekly. This workflow handles the routine positive replies automatically and ensures negative reviews reach the right person immediately, rather than sitting unnoticed. Over a month, that is 2-5 hours saved, plus the harder-to-quantify value of faster response times on negative feedback. The workflow uses integration, LLM, and conditional steps, costing a few credits per review.