AI systems and products for Quick Service Restaurants, built around how you actually run.
Delivery aggregators, outlet ops, guest reputation, and the dashboards your team opens every day — one studio ships the engine and the product surface.
THE FRICTION
You're losing time and revenue in predictable places
The specifics change between operators. The friction points don't.
Aggregator rank drift
Search position on Swiggy, Zomato, and similar platforms moves daily — often before your ops team notices. Manual spot-checks miss the window to react.
Estimated leak: visibility and order volume
Multi-outlet blind spots
Each city and outlet has its own listings, promos, and reviews. Without a unified surface, founders learn about problems from franchisees — late.
Estimated leak: delayed intervention
Competitor moves you don't see
Menus, offers, and ratings shift across competitors while your team is focused on the floor. Intelligence stays in screenshots and spreadsheets.
Estimated leak: pricing and promo share
Reviews pile up unanswered
Delivery and Maps reviews need fast, on-brand replies — especially the angry ones. Inconsistent response erodes trust and ranking signals.
Estimated leak: reputation and repeat orders
Listing and promo errors
Wrong images, expired offers, or mismatched menu items across platforms silently bleed conversion until someone notices manually.
Estimated leak: conversion on high-intent traffic
No daily operating picture
Rank changes, competitor activity, and outlet signals live in different tools. Leadership starts the day without a plain-language brief.
Estimated leak: founder time and focus
THE MACHINE
The operational lifecycle of a Quick Service Restaurant business
Before we talk about AI, we map the machine.
Discovery & demand
Where guests find you and choose an outlet.
Outlet operations
What happens when orders hit the restaurant.
Guest & reputation
How guests experience you after the order.
Intelligence & reporting
How leadership steers the network.
INFRASTRUCTURE + PRODUCT
AI runs the work. People make the calls. The product ties it together.
AI handles
- · Polling aggregator search rank across outlets and keywords
- · Competitor menu, pricing, and rating monitoring
- · Review classification and draft responses
- · Promo and listing consistency checks
- · Daily digest generation and alert routing
Your team handles
- · Pricing and promo strategy decisions
- · Angry guest recovery and escalations
- · Kitchen, staffing, and local partnerships
- · Anything irreversible — with human approval in the loop
And all of it lives in a product designed to be opened — not a spreadsheet, not an admin panel. Built to the standard behind a major bank's mobile app.
WHAT WE BUILD
What we actually build
Aggregator Visibility Monitor
Tracks search rank across delivery platforms by keyword and locality, multiple times per day — and flags drops in plain language.
Outcome: Rank Radar / Visibility Dashboard
Competitor & Pricing Watch
Monitors competitor menus, pricing, offers, and ratings across outlets so your team reacts with context, not screenshots.
Outcome: Competitive Intelligence Feed
Review Response Engine
Classifies and drafts replies to delivery and Maps reviews; routes high-risk threads to a human before anything sends.
Outcome: Reputation Workflow
Outlet Performance Dashboard
One product surface unifying rank, ratings, and ops signals across every outlet and city you operate.
Outcome: Leadership Dashboard
Promo & Listing Auditor
Checks that offers, images, and menu items are live and correct on every platform and outlet — before guests bounce.
Outcome: Listing Health Monitor
Daily Founder Brief
A plain-language WhatsApp or email digest of what changed overnight and what deserves attention today.
Outcome: Daily Brief Channel
IN PRODUCTION
Rank Radar — built for Quick Service Restaurant operators
The infrastructure polls aggregators; the product explains what changed. One example of the infra-plus-product pattern we ship for chains.
A monitoring and product system that tracks a restaurant chain's search rank across delivery aggregators, surfaces movement in plain language, and gives leadership one place to act — without living in five different apps.
YOUR STACK
Fits into the stack you already run
Additive integrations — no rip-and-replace mandate.
Aggregators
POS & ops
Comms
Data & sheets
HOW WE THINK
How we think about AI inside a Quick Service Restaurant operation
Infrastructure and product
AI is operational infrastructure and the interface your team opens — not a chatbot bolted on the side.
Accuracy is the floor
Rank data and review drafts must be trustworthy enough to act on — or they do not ship.
Fit beats novelty
We prioritize systems that match how your outlets already run, not demo-ware.
Humans on judgment
Your people keep relationships and irreversible calls; AI handles system-to-system repetition.
FAQ
Questions from Quick Service Restaurant operators
Yes — additively. We connect to the tools you already use for orders, listings, and comms. No mandate to rip out your POS or aggregator relationships.
Rank Radar is one shipped example of our pattern: infrastructure that polls plus a product your team opens. We build the full six-system menu for chains that need more than visibility alone.
You do, from day one — your repos, your cloud, your design files.
It depends on scope. We start with a paid diagnostic that stands on its own. Build work is scoped to outcomes; we share the math on a call — no published price list.
Both. We scope to your outlet count and the first high-leverage system — often visibility or reviews — before expanding.
You should see a first meaningful workflow in weeks, not quarters — one system live before we expand scope.
Ready to put AI to work in your Quick Service Restaurant operation?
Map your AI opportunity — we'll align on the first system worth shipping.