Automated Review Request & Reputation Monitoring System for a Restaurant Group

Overview

Built an automated review and reputation monitoring system for a restaurant group operating several locations, each with its own listing across multiple review platforms that no one was consistently tracking. The system sends a timed review request after a completed visit, routes happy guests toward public review platforms, and privately flags dissatisfied guests to the location manager before frustration turns into a public complaint. It also pulls new reviews from every platform into a single daily digest, so ownership no longer has to check five different apps to know how each location is doing. Response-time alerts flag any negative review that hasn't been addressed within a set window. A restaurant group operating several locations had reviews scattered across multiple platforms that no one was consistently tracking, with ownership needing to check five different apps just to know how each location was doing. We built an automated system sending timed review requests after visits, routing happy guests to public platforms while privately flagging dissatisfied guests to the location manager, and pulling every platform's new reviews into a single daily digest. We connected each location's review platforms into the digest one at a time, validating that pulled reviews matched what was actually posted before adding the next platform. Response-time alert thresholds were set with management input on how quickly they realistically wanted to respond. Average review volume across locations rose an estimated 45%, while the time to respond to negative reviews dropped from days to hours, giving ownership a real handle on reputation across every location.