Customers

Restaurant Customer Database

You already collect the data — every QR order, phone order and WhatsApp order arrives with a name and a number. This is where it turns into a list: who keeps coming back, who spends the most, and who agreed to hear from you.

A list that builds itself

No import, no data entry, no nightly spreadsheet ritual. Each order adds to the customer's record, and the list is sorted by what matters — how often they order and how much they have spent — so the regulars surface on their own.

Order-level table showing customers with channels and amounts
Orders are the source: each one carries the customer, channel and amount that build the customer record.

What you get from it

📖
The book, not a guess

Visits, lifetime spend and average order value per customer, built from real orders rather than a loyalty card nobody stamps.

🔎
Find anyone by phone

A call comes in and the number is recognised: search by phone or name and see what they usually order.

🧾
History behind the person

Open a customer to see their orders — useful when a regular asks what they had last time, or when a complaint needs context.

📤
Export when you need it

The filtered list downloads as CSV for accounts, a festival message list, or any tool that is not this one.

✅
Consent, recorded

Each customer's promotional consent is stored with them, and campaigns only message those who opted in.

🔐
Not publicly readable

Contact details sit behind sign-in, apart from the order data a QR menu needs. See privacy for the data flows.

From list to repeat visits

1
Collect on every order

QR table orders, phone and WhatsApp orders all record the customer the same way — no extra step for staff.

2
Find the regulars

Sort by orders or spend. The top of that list is the audience a win-back or a new-menu announcement should start with.

3
Give them a reason to return

First-order offers, coupons and the occasional campaign — built in the same dashboard that sees the orders.

4
Watch it in the numbers

Repeat visits show up in reports as orders and average ticket, not as "messages sent".

Coupons are created in the discount engine the POS uses, so a code in a message is a code the counter accepts.

Customer book vs a phone full of contacts

 Contacts app / notebookFoodHubbie customer book
Entered howManually, if at allAutomatically, from orders
Order historyNot availableEvery order, per customer
Spend and visitsUnknownLifetime totals, average ticket
Consent for offersAssumedRecorded per customer
Who can read itWhoever holds the phoneSigned-in staff only

Customer database questions, answered plainly

Do I have to import my customer list?

No. The book builds itself from orders — each order records the phone, name and amount, and repeat orders are grouped under the same customer with a running visit count and lifetime spend. An existing list can be exported, but a fresh outlet needs no import to start.

What can I see about a customer?

Number of orders, lifetime spend, average order value and the order history, reached from the customer's row. Search works by name or phone number.

Is there a loyalty points system?

No. There are no points or wallet balances. Repeat business is encouraged with first-order offers, coupons and win-back campaigns instead, and each customer records whether they agreed to promotional messages.

Who can see phone numbers?

Only signed-in staff of the outlet. Customer contact details are stored separately from publicly readable order and table data, so a QR menu visitor cannot read the customer book.

Turn orders into regulars

The customer book is included; campaigns cost ₹1 a message. See pricing.

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