Restaurant Group Moves from Days-Late to Same-Day Negative-Review Alerts with Repwatch, an AI Review-Management Solution from EchoAI and Kepler

Deployed in five days, Repwatch unified Google, Yelp and Tripadvisor reviews, recovered 1,935 missing owner replies, and puts human-approved AI reply drafts in front of store managers within 45 minutes of a new negative review syncing.

Sept. 29, 2026 — EchoAI, a provider of AI automation for small and mid-sized businesses, together with business-development partner Kepler, today announced the first production deployment of Repwatch, a review-management solution for multi-location restaurant groups.

Before Repwatch, the restaurant group’s reviews were scattered across Google, Yelp and Tripadvisor with no alerts. Of 1,637 negative reviews, only 545 — 33% — had ever received an owner reply, and store managers learned about new complaints by manually checking three apps, often a day or more later. Owner-reply data from Yelp and Tripadvisor had never been captured at all, so management dashboards showed a reply count of zero.

Repwatch went from kick-off to live in five days (Sept. 20–24, 2026) and delivers:

Same-day negative-review alerts. Every new review rated 3 stars or below that hasn’t been answered is pushed to the store’s team chat within 45 minutes of the data sync, cutting discovery delay from 24+ hours to 12 hours or less.
AI reply drafts that never auto-publish. Each negative review arrives with a suggested reply written in the store manager’s own style, learned from their past replies. A person reviews and sends every response; the AI has no permission to post. In the backfill, 117 of 131 drafts were generated and 14 reviews without text were correctly skipped rather than guessed at.
Accurate data. Fixing two long-standing extraction bugs recovered 1,935 historical owner replies (32.4%), verified 10 out of 10 in sampling — giving management its first accurate reply-rate baseline.
One view across three platforms. A unified dashboard tracks review volume, ratings, monthly trends and complaint categories; a 1,411-review backlog was absorbed without flooding managers with old alerts.

“Restaurant owners don’t have a data problem, they have a visibility problem,” said Cola Kang, Founder of EchoAI. “The reviews were all there — nobody saw them in time, and nobody had time to answer them. Repwatch fixes both, and it keeps a human in charge of every word that goes out.”

“Before Repwatch, I found out about a bad review by accident — scrolling three apps between shifts, days later. Now it hits our group chat the same day, with a draft reply written in my own words already attached. I read it, adjust a sentence, send. Five days from kick-off to live — I honestly didn’t expect it to move that fast,” said the operations lead of the restaurant group, which asked not to be named.

The full case study is available at https://www.echo365.ai/case-studies/#repwatch.

About EchoAI

EchoAI builds AI automation and AI “digital employees” for businesses with fewer than 50 people — customer support, review management and workflow automation delivered at a fraction of the cost of traditional enterprise software. Learn more at https://www.echo365.ai.