review-manager_skill

Overview

This skill centralizes customer review collection, automated reply generation, alerting, and reporting across multiple platforms. It monitors Naver Place, Google Reviews, Baemin, and Coupang, performs sentiment analysis, and provides competitor comparisons. The goal is to reduce manual monitoring and speed up response to negative feedback.

How this skill works

The system scrapes or ingests reviews from configured store listings on each supported platform, normalizes the data, and stores JSON snapshots for analysis. It runs sentiment analysis and keyword detection to classify reviews, generates AI-crafted reply drafts by rating band, and sends immediate alerts for low-score or keyword-triggered issues. Weekly reports summarize rating trends, keyword trends, sentiment summaries, and competitor score comparisons.

When to use it

• You manage multiple store listings across platforms and need a single monitoring dashboard.
• You want automated, on-brand reply drafts for positive, neutral, and negative reviews.
• You need instant alerts for potentially harmful reviews or urgent customer issues.
• You want weekly analytics on rating trends, keywords, and competitor performance.
• You need stored review history for audits, QA, or performance tracking.

Best practices

• Configure platform endpoints and credentials carefully; use mobile web parsing for Naver Place where necessary.
• Set alert thresholds and keyword lists to match brand language and local expressions.
• Throttle scraping frequency to respect platform policies and avoid blocking.
• Use browser automation and authenticated sessions for platforms requiring login.
• Customize reply tone and brand guidelines in configuration to improve AI output quality.

Example use cases

• Retail chain monitors daily reviews across Google and local listing sites and auto-generates thank-you replies for positive feedback.
• A restaurant receives instant Discord alerts when a one- or two-star review appears so staff can respond quickly.
• Customer success teams get weekly reports showing rating trends and top complaint keywords to drive operations changes.
• Competitive intelligence compares monthly average scores between your store and nearby competitors.
• Automated workflows draft empathetic, solution-oriented replies for low-rated reviews to reduce escalation.