Order accuracy
Paper handoffs meant modifiers and table numbers were regularly lost between front and back of house.
03 — CASE STUDY / DINEFLOW
QR ordering, a kitchen display, and a management dashboard, built as one system instead of three disconnected tools.
Every order passed through three separate steps: written on paper at the table, re-entered at the till, then read aloud to the kitchen. Each handoff was a chance for something to go missing, a modifier dropped, a table number misheard.
On a busy night, the till and the kitchen worked from two different pictures of what was actually owed and owing. Reconciling the two took thirty to forty minutes after close, every night, by hand.
We spent two full services on the floor before writing anything: one lunch, one dinner. We timed every handoff, watched where staff improvised around the paper system, and asked the kitchen what they wished they knew earlier.
The paper wasn’t really the problem, the three separate records of the same order were. Any fix that didn’t unify order, kitchen, and till into a single source of truth would just move the friction somewhere else.
Paper handoffs meant modifiers and table numbers were regularly lost between front and back of house.
Thirty to forty minutes of manual matching between till and kitchen tickets, every single night.
No reliable way to see which dishes sold, when the kitchen was overloaded, or where orders were slipping.
Customers scan a QR code at the table and order directly from their phone. The order goes straight to a kitchen display, no re-entry, no paper, and appears on the manager’s dashboard in real time, with the till and kitchen always showing the same numbers.
A single core API keeps the customer app, kitchen display, and admin dashboard in sync, backed by one database, so there is exactly one record of every order, from placement to payment.
No app download. Scan, browse, order, and send straight to the kitchen.
Orders arrive as tickets sorted by status: new, preparing, ready.
Daily orders, average ticket size, and error rate, updated in real time.
Items, prices, and availability update instantly across every screen.
Automatic reconciliation replaces the thirty-minute manual close-out.
Built so a second location is a configuration change, not a rebuild.
Fewer order errors reaching the kitchen in the first month.
Manual reconciliation time removed from every closing shift.
From first conversation to a live system in production.
A second location is next, testing the multi-location groundwork built into the data model from day one. After that: predictive prep-time estimates on the kitchen display, based on historical order volume.
A working four-week system earned more trust than a longer proposal would have.
Two services on the floor told us more than any stakeholder interview could.
Every problem traced back to three records of one order. Fixing that fixed the rest.