More leads
More qualified traffic and prospecting: more people enter for the same investment.
+ — per month
← ROI Calculator 01— 02— 03—
Kommo CRM · Restaurant and Delivery
Sales engine for Restaurant and Delivery: how much do you lose without it?
The restaurant depends on iFood (which takes a 27% commission and owns the client) and responds to WhatsApp in a rush between one dish and another. Large orders, event orders, and reservations fall into the same box as 'do you deliver to my neighborhood?' and get lost. No one has the database of those who have already bought to bring them back, the client disappears, and you pay the marketplace again to win back the same CPF.
%
R$
R$
You are leaving on the table
—
per month · — per year
Where does this number come from
More leads for the same investment—
More conversion (fast response and follow-up)—
More repeat purchases from the same client—
Total per month—
Project payback—
I want this engine → Typical restaurant and delivery numbers. Adjust with yours.
Everything starts from your real revenue per client, the LTV. Four numbers you already have:
Leads per month—
Conversion—
Average order value—
Purchases per client—
Your revenue today—
A structured sales engine moves three levers at the same time. Since they act on the same account, the effect does not add up: it multiplies.
More conversion
Response in minutes, follow-up that doesn't fail, and AI answering after hours.
+ — per month
More repeat purchases
Relationship and base reactivation: the same client buying again.
+ — per month
Revenue today—
With the engine—
What is on the table—
The size of each step depends on where you are starting from: those who already use a good CRM with AI have less to gain (20% per lever) than those who don't use any CRM yet (30%). That is why the calculator asks for your current situation, and it is the only place where an estimate is entered.
01What we believe
The MMV Method applied to Restaurant and Delivery
The MMV Method takes the restaurant out of marketplace dependency by building its own database and direct channel. Every WhatsApp and delivery client becomes a contact in the CRM with history; AI handles orders, reservations, and inquiries immediately, and follow-up reactivates those who haven't ordered in weeks with campaigns, transforming one-time clients into recurring ones without paying commissions.
02The stack we build
The right tools, integrated.
Kommo CRM
Turns the restaurant's own client database with order history, ticket, and frequency into a CRM, and organizes inquiries, reservations, and events in a funnel separate from day-to-day delivery.
N8N
Integrates WhatsApp, digital menu, and ordering tools to Kommo, registers each client, and triggers repurchase campaigns segmented by neighborhood and frequency.
OpenClaw
Handles WhatsApp immediately, answering menu questions, taking orders, confirming reservations, and closing event inquiries without locking up the kitchen during peak hours.
Claude Code
Builds menu integration with CRM, frequency reactivation campaigns, and the dashboard for repurchase, average ticket, and marketplace dependency.
03The funnel
Outbound + inbound, with a qualifying form.
Outbound
Active repurchase campaign and commemorative dates on the own database + prospecting companies for corporate supply (lunch boxes, coffee breaks, events) with WhatsApp cadence.
Inbound
Paid traffic for direct channel (outside iFood) + content about dishes and behind-the-scenes on Instagram capturing those looking to order directly and avoid the app's delivery fee.
Tracked form
Reservation/event inquiry form (date, number of people, menu) that falls into Kommo, qualifying the large order and personalized service.
04Service + commercial process
Immediate service on WhatsApp by AI without locking the kitchen at peak, capturing orders, reservations, and inquiries that would get lost in the rush. Repurchase follow-up reactivates those who haven't ordered in weeks with segmented campaigns, and the salesperson calls to close high-ticket corporate inquiries that are worth much more than individual orders.
05Visibility (SEO · AEO · GEO)
Captures searches like 'delivery of [food] in [neighborhood]', 'restaurant for event inquiry [city]', and 'corporate lunch box [city]' with pages by neighborhood and service (delivery, events, corporate). Answer-first content about menu, delivery area, and inquiries to be cited by AI and capture direct orders, without marketplace commissions.
Frequently Asked Questions, Restaurant and Delivery
How does the restaurant decrease iFood dependency?
The system builds your own client database in Kommo with order history and a direct channel on WhatsApp. Instead of paying a 27% commission and losing the client's CPF to the app, you start reactivating those who have already bought with your own campaigns. The marketplace becomes a complement, not the owner of your clientele.
Can AI handle the restaurant's WhatsApp during peak hours?
Yes, that's exactly where it saves sales. AI responds immediately, answers menu questions, takes orders, and confirms reservations without locking up the kitchen. Large orders and event inquiries that were lost in the rush between one dish and another are now captured and forwarded to the right person.
Is it possible to bring back the client who disappeared?
It's the biggest gain. With your own database, the repurchase follow-up identifies those who haven't ordered in weeks and triggers campaigns segmented by neighborhood and frequency. You reactivate clients without paying marketplace again and also prospect companies for corporate supply, which has a much higher ticket than individual delivery.