Tokens, pickup alerts and upsells

4 customers walked away during today's lunch rush. You didn't even notice.

cutQ gives every customer a WhatsApp token via QR so they can sit down instead of standing at your counter. You ping them when food is ready, and upsells trigger automatically during the wait. No app download. No shouting token numbers.

Upsells that trigger automatically based on order + wait time

In the mall → "Beat the lunch rush - pre-order and skip the queue."Waiting for food → "Upgrade to a combo — ₹79 more."Haven't visited → "Miss our biryani? 20% off this week."
V
Live Queue
Serving Now
A-104
Wait Time
3 min
1
A-105
Waiting
2
A-106
Waiting
3
A-107
Waiting

"Lunch used to be 45 minutes of pure chaos - customers shouting, wrong orders, people walking away. Now they scan, sit down, and we WhatsApp them when it's ready. We even push combo upgrades during the wait - that alone covers the subscription."

— Faizan, outlet partner, Hitech City, Hyderabad (Early Access)

The real cost of waiting

Lunch rush is a revenue leak, not just a crowd problem.

Based on conversations with 15+ outlet operators in Hyderabad (early access).

35%
of customers abandon a counter when visible queue exceeds 8 people
Based on conversations with 15+ outlet operators in Hyderabad (early access)
₹22k
lost per month from peak-hour walkouts
4 walkouts/peak hour x ₹220 avg order x 25 peak days (interviews)
3+
order handoff errors per day without a token-based pickup flow
Based on conversations with 15+ outlet operators in Hyderabad (early access)
0/15
outlet operators we spoke to could tell their exact walkout count during lunch rush
Based on conversations with 15+ outlet operators in Hyderabad (early access)
Peak hour counter chaos
Lunch rush means 10 people at the counter and 4 customers walking away before they even order.
Avg. 4-6 walkouts per peak hour
No upsell during wait
Customers in queue are the most purchase-ready they will ever be. Without a system, that intent walks out unfulfilled.
Every wait = missed add-on
No visibility across counters
Running 2–3 outlets in the same food court with no unified view of which is overwhelmed and which is idle.
Missed rebalancing daily
Order confusion at pickup
No token system means wrong orders handed to wrong customers, complaints, and refunds eating into margin.
Avg. 3 order errors per day
Without cutQ
  • 12 people at the counter. 4 see the crowd and walk to the stall next door
  • A customer shouts "bhaiya mera order?" for the third time - staff cannot hear over the noise
  • Two orders get swapped at pickup - one customer is angry, the other already left
  • One counter is slammed while another is empty, but there is no way to rebalance in real time
  • Customers finish and leave. You have no idea who they are or whether they will ever come back
  • You add staff after the line forms, and still lose walkouts in the same rush window daily
With cutQ
  • Customer scans QR and gets a WhatsApp token: "Your order is #47. We will ping you when it is ready."
  • They grab a table and wait. During the wait: "Upgrade to a combo - ₹79 more." Tap yes
  • Kitchen marks #47 ready. WhatsApp alert goes out. Customer walks straight to pickup - no shouting
  • Dashboard shows which counter is overwhelmed so you can shift staff in real time
  • If they have not returned in 2-3 weeks, cutQ sends "20% off this week" automatically
  • Peak-time data shows the exact 45-90 minute crush window, so you staff up before it hits

A simple workflow your team can run

See how cutQ handles orders with QR + WhatsApp tokens, pickup alerts, and upsells during the wait.

1

QR at every counter

Customer scans the QR at your counter and gets a WhatsApp token instantly. No app download. No standing in line.

2

Customer waits anywhere in the food court

They grab a table, browse other stalls, and scroll their phone. cutQ pings them when food is 2 minutes from ready.

3

Upsell while they wait

cutQ automatically pushes a combo upgrade, dessert add-on, or loyalty discount based on their order and wait time. No staff effort.

4

Rush-hour analytics

See which counters and time windows create the longest waits. Staff up before the rush, not during it.

Upsell engine

Turn 3 minutes of wait time into ₹79 of extra revenue.

Customer is
In the mall, near your counter
They see
Beat the rush - pre-order now.
You get
Orders before they even reach the queue
Customer is
Waiting for their food
They see
Upgrade to a combo - ₹79 more.
You get
Higher order value, zero staff effort
Customer is
Hasn't visited in 2+ weeks
They see
Miss our biryani? 20% off this week.
You get
Repeat customer recovered

Set the offer once. cutQ triggers it based on the customer's order, wait time, and visit history.

Analytics

Rush-hour analytics that stops walkouts before they happen.

Food court ops run on noise and instinct. Without data, you don't know when walkouts spike, which counter is choking, or what to fix first.

What you think
Lunch rush is 1pm.
What the data shows
Walkouts spike 12:35-1:20pm on weekdays, and 1:10-2:00pm on weekends.
What you do about it
Staff up 30 minutes earlier, not after the line forms.
What you think
Counter 2 is always busy.
What the data shows
Counter 2 is overloaded while Counter 3 is idle for 40 minutes during rush (staff imbalance).
What you do about it
Shift one staff member for 60-90 minutes and save walkouts daily.
What you think
We don't lose that many customers.
What the data shows
Visible queue > 8 people triggers consistent abandonment, averaging 5+ walkouts/day.
What you do about it
Use WhatsApp tokens + pickup alerts so people sit down instead of walking out.
Save 5 walkouts/day x ₹200 avg order x 26 days = ₹26,000/month protected. cutQ is ₹999/month.
Analytics shows you when and where walkouts happen, tokens clear the counter, and the upsell engine increases order value while customers wait.
Find out how many walkouts you lose in lunch rush → Book a demo

Built for lunch rush

Run tokens and orders from the same dashboard, with automated WhatsApp pickup alerts that keep customers informed.

Live Token Display

Every customer gets a WhatsApp token. Your kitchen sees the live queue on one screen. No paper chits, no shouting order numbers.

Order-Ready Notifications

Automatically notify the customer on WhatsApp when their order is ready for pickup. Reduce counter crowding significantly.

Multi-Counter Management

Running 2–3 outlets in the same food court? Manage all of them from one dashboard with a single login.

Upsell During Wait

Configure add-on offers that trigger automatically while the customer waits based on their order, wait time, and visit history.

Peak Time Heat Maps

Know the exact 45-90 minute crush window, which counter gets overwhelmed, and where walkouts spike. Rebalance staff before the rush, not after the line forms.

QR + WhatsApp Check-in

No app download needed. Customer scans the QR at your counter and joins via WhatsApp in under 10 seconds.

Built for your industry

Salons
Clinics
Food Courts
Retail Stores
Government Offices
Banks
Be among the first outlets in your city to go live.
No hardware neededGST invoice includedUPI & card payments accepted
GST invoice auto-generated on every paymentAccept UPI, net banking, and cards via RazorpayWhatsApp-first notifications — no app download needed

₹999/month per outlet. No commission on orders.

No setup fee. No contracts - cancel anytime. Zomato and Swiggy take 20-30% per order. cutQ is ₹999/month flat - keep your margins.

Outlet Plan

₹999/ month
No setup fee. Cancel anytime. No commission on orders.
Everything included:
Digital tokens (QR + WhatsApp)
Order-ready notifications
Upsell engine during wait
Multi-counter dashboard
Rush-hour analytics
Multi-branch dashboard
Priority support
Book a Free Demo

Book a Free Demo

Tell us about your food court or outlet. We'll show you cutQ running with your menu, counter setup, and pickup flow.

We demo with your counter setup
We'll demo cutQ with your actual menu, counter flow, and pickup process.
Built for food courts (not a delivery app)
Manage tokens, pickup alerts, upsells and rush-hour analytics from one dashboard.
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