Table Reservations & Loyalty Experience
A restaurant already running its kitchen and order operations on a real system, taking reservations by phone and writing them in a book, with no way to recognise or reward a returning customer beyond a server's memory.
The reality
A restaurant already runs its kitchen and order operations on a real system. Reservations are still taken by phone and written in a book. A returning customer is recognised only if a server happens to remember them — there's no record of who returns, or how often.
Where it breaks
- A table booked by phone has no record, until two bookings collide on the same table.
- A returning customer's history and preferences live only in a server's memory, not anywhere the restaurant can act on.
- There's no way to recognise or reward a customer for coming back, so every visit is treated like the first.
- Feedback, when it happens, isn't tied to the specific visit it's actually about.
The Afivox approach
Afivox doesn't bolt a loyalty app onto the front of the restaurant before the kitchen is ready for it. This depends on the operational base already being trusted, and it turns the restaurant's stated turning point — a returning customer is worth more than a first-time one — into a system that actually recognises when that customer walks back in.
The system
Users
Customers booking and ordering, host stand staff
Application
Reservations, menu browsing, order placement
Services
Loyalty, customer profile, feedback
Data
Reservation → Table, Customer → LoyaltyAccount → PointsLedger, Feedback
Integrations
Shares the order queue with the Restaurant Operations & Channel Control Platform
Security
Ledgered loyalty points, non-deletable reservation history
What it looks like
Concept mockups — illustrative interfaces, not a built system.
Restaurant homepage
Menu
| Item | Price |
|---|---|
| Jollof Rice & Chicken | ₦4,500 |
| Suya Platter | ₦6,200 |
| Grilled Fish | ₦7,800 |
Order tracker
Loyalty wallet
1,240
Points balance
9
Visits this year
1,500 pts
Next reward at
₦1,000 off
Redeemable now
Customer profile
Reservation board
| Time | Table | Party | Status |
|---|---|---|---|
| 19:00 | Table 4 | O. Bankole — 4 | |
| 19:30 | Table 7 | Walk-in hold | |
| 20:00 | Table 2 | T. Adeyemi — 2 |
How it flows
Secure by design
- A table cannot hold two overlapping confirmed reservations, enforced at the data level.
- Loyalty points are recorded as a ledger, never a single mutable balance, so a disputed balance can be traced to its entries.
- A no-show or cancellation is recorded, never silently deleted.
Designed to improve
- Booking reliability — a table booked by phone or online can't be double-booked.
- Customer recognition — a returning customer's visit history and loyalty balance are on one record.
- Redemption simplicity — redeeming a loyalty point takes one step at the till.
- Actionable feedback — feedback is logged against the visit it actually refers to.
Before
- A table booked by phone collides with another booking because nothing recorded it.
- A regular customer is recognised only if the same server happens to be working that night.
- There's no way to reward someone for coming back a fifth time.
- Feedback arrives disconnected from the visit it's actually about.
After
- A booked table can't be double-booked.
- A returning customer's history and loyalty balance are on one record, visible to whoever's on shift.
- Redeeming a loyalty point is one step at the till.
- Feedback is tied to the specific visit it refers to.
Your operation probably has a workflow like this.
One session. We look at what's breaking, and what we'd build around it — whether or not you hire us afterward.
Tell us where yours breaks