Step 1
A customer calls when the team is busy.
EzyOrder
EzyOrder uses AI call handling to capture orders automatically, reduce pressure on staff, and keep the kitchen moving.
Call to AI to order to kitchen, with live status visible in one dashboard.
Live operating view
Module 1
AI takes orders automatically
Module 2
Structured order capture
Module 3
Live kitchen dashboard
Primary outcome
Fewer missed orders, less phone pressure, and clearer kitchen flow.
Problem
The issue is rarely one dramatic failure. It is the daily friction that builds up when important work sits across paper, calls, memory, and disconnected tools.
Cost of doing nothing
Rocklab frames the first build around the cost of leaving the workflow as it is, then narrows the system to the fix that creates the quickest useful improvement.
Solution
The first release stays practical: capture the right information, make ownership visible, and give the team a cleaner way to move the work forward.
How it works
Step 1
A customer calls when the team is busy.
Step 2
AI captures the order and confirms the key details.
Step 3
The order appears in the live dashboard for review.
Step 4
Kitchen staff accept, prepare, and mark the order ready.
Real scenario
When staff cannot answer, the order still gets captured and appears on the board with customer name, items, and status.
Fewer missed orders, less phone pressure, and clearer kitchen flow.
Features
EzyOrder dashboard preview
This is an embedded product-style preview, not a separate demo route. It shows the kind of operational screen the landing page is selling.
Maya P.
Margherita, chips, cola
Chris D.
Chicken wrap, salad
Table 4
Two burgers, fries
AI flow
Why Rocklab
The goal is to land a useful first version that the team can actually operate, then improve from evidence rather than assumptions.
Start focused
Rocklab can turn that into a clear first release: the right records, the right screens, the right handoffs, and the right level of automation.
Talk through order capture