Restaurants / Food delivery · Orders, delivery issues & peaks
Lunch doesn't wait.Neither do your guests.
Two hours at noon and three at night carry most of the day's contacts. The kitchen can't answer the phone, and the guest won't call back tomorrow.
“Can I place an order for pickup at the Midtown location?”
AI resolves
Working…
- “Can I place an order for pickup at the Midtown location?”
- “I just ordered but I need to make it no onions and add a side.”
- “My order arrived and the fries are missing.”
- “Where's my delivery? The app has said 'on its way' for 40 minutes.”
- “The food was cold and the bag was open. I want a refund.”
- “Table for six on Saturday at 7:30, one high chair.”
- “It's 9:40 and my 8:30 order still isn't here.”
- “Are you open on the holiday Monday?”
What creates volume
- Orders per location
- Third-party delivery share
- Menu changes & promotions
- Reservation demand
- Kitchen and driver performance
Operating workflow
The rush is a routing problem, not a headcount problem.
How a delivery contact moves through the operation at 12:15 on a Tuesday — store-specific routing, AI on status and changes, people on the guest who's been let down.
Trigger
Guest: "My order arrived and the fries are missing."
Own channels
- Order & change→
- Status & ETA→
- Quality & refund
Third-party delivery
- Order located→
- Status answered→
- Dispute filed
Reservations
- Availability→
- Booked & confirmed→
- Large party or event
- 1
Location identified
Order #T-3381 · Midtown · Toast ticket
- 2
Order retrieved
Items, timestamps, courier, payment
- 3
Item verified by AI
Fries on ticket · not marked out-of-stock
- 4
Within policy?
Item value, guest history, store refund rate
- 5
Agent resolves
Partial refund or credit · apology in brand voice
- 6
Store and courier flagged
Missing-item reason logged · ops dashboard updated
Resource allocation
Where AI adds speed. Where people add judgment.
AI opportunities
- Order placement on own channels
- Order changes before the ticket fires
- Delivery status and ETA
- Reservations and modifications
- Hours, menu and allergen questions
- Store lookup and routing
- Order confirmations and pickup alerts
- Loyalty and promo code questions
Human-led interactions
- Missing and wrong items
- Late and cold deliveries
- Refunds outside policy
- Food safety and allergen incidents
- Angry guests
- Large party and event bookings
- Third-party platform disputes
- Store-level escalations
Where service meets the business
A missing item is a guest you keep or lose by Friday.
Where a fast, well-judged refund changes whether the guest orders again.
- 01
Missing item reported at 12:20
- 02
Agent sees ticket, store and guest history
- 03
Partial refund and credit issued in 90 seconds
- 04
Guest re-orders that week · store trend flagged to ops
Outcomes depend on your refund policy, store performance and delivery-platform terms.
When volume spikes
Two peaks a day. Every day.
Contacts per hour on a typical weekday. Order status, changes and reservations spike with lunch and dinner and are absorbed by AI; humans stay on missing items, late deliveries and refunds.
Around 65% of the day's contacts land in four peak hours. Half of them are status, ETA and reservation questions — answered without a queue.
What we report
The KPIs that matter to a restaurants / food delivery operation.
Answer Time at Peak
26 sec
−68%
Missed Calls at Peak
2%
−31 pt
Refund Resolution Time
4 min
−52%
Refund Rate
2.5%
−0.8 pt
Reservation Conversion
78%
+12 pt
Guest CSAT
4.6 / 5
+0.4
Contacts per 1,000 Orders
80
Third-Party Dispute Win Rate
67%
+19 pt
Systems we work inside
- Toast
- Square
- Olo
- DoorDash merchant portal
- Uber Eats merchant portal
- OpenTable
- Resy
- HubSpot
- Zendesk
We operate in your systems, not beside them. Every interaction is logged, tagged and visible where your team already works.
How the operation is structured
01AI front line
Orders, changes, ETA, hours and reservations on phone, SMS, chat and WhatsApp — every location, every hour you're open.
02Store-aware routing
Each contact tied to the right location, POS ticket and delivery platform before anyone touches it.
03Guest recovery agents
Missing items, late deliveries and refunds handled in your voice, within your policy, with store and guest history in view.
04Peak coverage
Humans scheduled to the lunch and dinner curves; AI containment carries the spike so no one waits on hold at 12:15.
05Ops reporting
Missing-item, late-delivery and refund reasons by store and platform sent to your operators daily.
Food service calculator
What does the lunch rush cost to answer?
Your locations, orders, contact rate and peak concentration — sized into peak-hour coverage, baseline team and refund handling before you talk to anyone.
Other industries
Evaluate your customer-service operation.
See what your current model costs, what a managed Human + AI operation would look like, and where the gaps are — before you talk to anyone.