Serve more guests with the team you have
Match POS and KDS records with actual preparation, pickup and handoff. Approve changes across dine-in, drive-thru and delivery, then verify guest wait time, completed orders per hour and labor cost per order.

What your team can improve

Turn tables sooner
Improve table turnover by comparing seating-to-reset times with POS, then assign clearing and seating changes.
Explore use case
Serve more orders per hour
Measure the whole wait from queue entry to actual handoff.
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Match staffing to demand
Compare servers on the floor with seated covers by section and hour.
Explore use case
Inside Fortune AI
Set the review scopeWhere is service time stretching during the rush?
Ask the question
Start with the operating question
Choose the site, zone and period. Ask the question your team needs answered.
Matched evidence
- Reservations, table maps, POS checks, KDS tickets, server sections and labor schedules
- Seating, first visits, food delivery, table clearance, reset and order handoffs
Inspect the evidence
See the records and the relevant scene
Inspect linked records and camera evidence from the same operating period.
Accountable action
- Restaurant shift manager
- assign server and busser follow-up, improve seating and align sections with covers
Review the next action
Review the action and the result to compare
The restaurant shift manager approves the change and assigns responsibility. Compare results in the next comparable service peak.
Outcome comparison
- Full guest wait, completed orders per hour and queue abandonment
- the next comparable service peak
Owner: Restaurant shift manager
Explore the product conversation
Product demo
See restaurant operations intelligence in action
Review the evidence. Approve the plan. Verify the next comparable operation.
- 01 · AskWhere is service time stretching during the rush?
- 02 · VerifyReview the interval and supporting footage
- 03 · CompareTest service-time target on matched periods
Where is service time stretching during the rush? Pickup handoff is extending service time. Review the camera evidence, the measured service-time target, and the next action: test earlier rush coverage.
Find the workflow you want to improve
View all 9 applicationsHide application list
Plan the rollout, scope and cost
Review camera and data connections, the operating scope, costs and ownership.
See the implementation pathWhat should a POS and KDS integration test before rollout?
Agree on order IDs, channel, location, status meanings, timestamps and the fields needed for the operating question. Validate representative orders against the source system and observed handoff before rollout. Fortune AI keeps each finding connected to the relevant record and evidence, then managers approve the operational change.
What is included in rollout and ongoing support?
Receive an itemized scope, camera/data map, acceptance examples, training and support contact. Confirm hardware, integration, retention, subscription and support costs with milestones and responsibilities.
What to measureScope, acceptance evidence, costs and escalation owner.
What scope and privacy requirements should we agree on?
Agree service endpoints, queue rules, POS/KDS permissions, order matching, camera access and retention before rollout. Use order IDs, labels or verified pickup locations to connect preparation, packing and handoff. Review aggregate service times and staffing across matched periods.
Bring one operating question
See your records, the relevant scene and an accountable next action in one review.









