ReviewLoop
Turn every meal into a signal
Fires a friendly review request after each meal, aggregates public and private reviews into one feed, and sends the sentiment back into the menu and operations stack.
- 1 Feed across public + private
- Dish Tagged sentiment by default
- Live Fan-out to ops and menu
ReviewLoop closes the post-meal loop without hounding guests. A single contextual message — right time, right channel, right language — lands after the guest has paid. Public reviews are solicited where appropriate; private feedback is collected where it is more useful.
All reviews converge in one internal feed, scored for sentiment and tied to dishes, servers, and bookings. That lets the kitchen, the host, and the noise radar act on real signal instead of scanning stars on three review sites.
Everything ReviewLoop handles for you
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Contextual ask
Timing, channel, and language of the review request adapt to the guest and the visit.
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Public + private
One flow that knows when to solicit a public review and when to capture private feedback.
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Dish-level mapping
Reviews are tagged with the specific dishes and servers from the visit for targeted action.
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Feedback fan-out
Sentiment flows into the menu, the ops layer, and the noise radar automatically.
How ReviewLoop plugs into the restaurant stack
ReviewLoop is a consumer of visit data and producer of sentiment signals. Other services act on them.
- MenuPulse receives dish-level sentiment to spot under-performing items.
- NoiseScore takes fresh reviews as a heavy input into the per-section risk score.
- AIM CRM shows recent reviews on the guest, server, and dish timelines.
- WhatsappQR carries the post-meal request to the right channel.
Wire ReviewLoop into your product today
Book a consultation with our founders and we'll walk you through the whole microservice stack — not just this one — live on your domain.