Turn every guest experience into actionable insight.
After every meal, your restaurant chatbot reaches out. It collects food ratings, service scores, and open comments while the experience is still fresh. If a guest is unhappy, the agent flags it and alerts your team before it becomes a public review.
Reaches out to guests after their visit to collect structured ratings, comments, and satisfaction scores automatically over WhatsApp or website.
Captures and escalates complaints from dissatisfied guests, ensures a fast team response, and closes the loop so no bad experience goes unaddressed.
Engages satisfied guests with loyalty program information, return visit offers, and referral incentives to drive repeat business.
This blueprint comes pre-configured with everything you need to launch quickly.
Pre-built for how guests actually feel and respond. Not a generic survey form.
Your agent doesn't replace your existing tools. It works with them.
Store all feedback responses and complaint logs automatically
Send post-visit feedback requests directly via WhatsApp
Embed the feedback widget on your order confirmation or thank-you page
Match feedback to order data for deeper guest insights
Everything you need to know before deploying this blueprint.
The agent sends a WhatsApp message or website prompt after their visit at a time you configure, such as 30 minutes after the meal or the following morning, so the experience is still fresh.
Yes. If a guest gives a low rating or uses negative language, the agent flags the conversation and alerts your team immediately so you can resolve the issue before it becomes a public review.
Yes. You can configure the agent to ask a standard NPS question and collect structured scores, which can be aggregated by outlet and time period for your reporting dashboard.
Yes. All feedback, ratings, and complaint logs are pushed to Google Sheets in real time and can be connected to your CRM or analytics tools for deeper analysis.
Most deployments go live within one week. We configure the feedback flow, set the timing triggers, and run a full test before handing over to your team.
To a point, yes. The feedback chatbot detects negative sentiment in guest responses and immediately alerts your team with the full conversation context. It does not try to resolve serious complaints autonomously. It makes sure the right person on your team sees it fast enough to actually fix the situation.
