AI-assisted restaurant reputation management SaaS

Context

Restaurants live and die on reviews across half a dozen platforms (Google, Yelp, TripAdvisor, delivery apps, and more), and the operator’s inbox can’t keep up. The brief was a SaaS that pulled reviews into one place, made sense of them, and helped the operator respond.

Problem

Treating each platform’s inbox as a separate workflow scales poorly past the first location. Treating them as one workflow without classification produces noise: a complaint about service and a comment about the parking lot need different responses, and right now they’re treated the same.

Approach

A React + Node.js SaaS that pulls reviews from the platforms each operator uses, applies AI-assisted classification (sentiment, category, response priority), and routes each review into a response queue with suggested drafts.

Solution

• React front end for the operator’s review-management surface.
• Node.js back end for platform integrations and review-state management.
• AI-assisted classification of incoming reviews (sentiment, category) to set prioritization.
• Response drafting assistance with operator-in-the-loop, never auto-publishing.

Outcome

Above. The unified-workflow shape is the load-bearing decision; the AI assist is the productivity multiplier on top.