Restaurants & HoReCa
Service robots for restaurants, cafés, food courts and hotels: food and drink delivery, room service, greeting and guiding guests, floor cleaning. Fits a single venue or a chain — start from two robots, on-site go-live in 4—6 weeks.
- Where it fits
- Restaurants · hotels · food courts
- Start
- From 2 robots · up to 5
- Integration speed
- High
- Cycle to launch
- From 4 weeks
CAM·01 · SERVICE FLOOR23.13°N · 113.26°E · GUANGZHOUSRV-FLEET · REV.2026
Where this package actually helps
Four typical challenges in this segment — and what changes on the client side once the package is in place.
- Challenges · 01
Front-line staff — waiters, runners, room-service — is a significant share of operating costs. Rates rise, people are scarce, especially on evening and night shifts.
Solutions · 01We take on the routine runs — carrying dishes on the floor and delivering to floors and rooms. Staff move to greeting guests, service and upsell — where value is created.
- Challenges · 02
HoReCa turnover exceeds 100% a year: constant retraining, service-quality dips, manager and room-service overload.
Solutions · 02We take staffing strain off the manager: the robot doesn't quit, isn't late, works every shift the same. The manager focuses on guests, not on patching the rota.
- Challenges · 03
Service speed and quality drift shift to shift. At peak and at night the guest waits longer — whether it's a dish in the dining room or a delivery to the room.
Solutions · 03We keep service even on any shift: delivery speed and route are the same by day, evening and night — the guest gets the order predictably fast.
- Challenges · 04
Peak load: the kitchen is ready, rooms are waiting, but staff is stretched — delivery time grows, table turnover and guest satisfaction fall.
Solutions · 04We hold speed at peak: the same fleet covers both the dining room and floor delivery, without hitting a staff shortage at the busiest moment.
REV.2026 · NODE GZ-01
What it looks like in practice
Two illustrative scenarios — the order of investment, timeline and effect. Figures are indicative; a precise estimate for your site is in the calculator below.
FRAME · 01Inputs
A 60–80 room hotel with a restaurant and room service. Evenings are short-staffed for room and floor delivery.
What we deploy
- 2 delivery robots (rooms and floors)
- 1 host robot in the restaurant area
- Staff training, lift integration
On-site launch
≈ 2 weeks
Effect & payback
Frees 1–2 staff per shift, room delivery without delays. Payback ≈ 10–14 mo.
FRAME · 02Inputs
A 120-seat restaurant, heavy peak-hour flow, waiter turnover.
What we deploy
- 2 dish-delivery robots (kitchen→floor runners)
- Route and zone setup
- Shift training
On-site launch
≈ 1 week
Effect & payback
Waiters run less between kitchen and floor, higher table turnover. Payback ≈ 8–12 mo.
REV.2026 · SAMPLE 2/2
What's in the package
A ready-made configuration for the task — no separate sourcing and no grey areas of accountability: equipment, integration, training and service at launch assembled as one system.
M·01Delivery robots
DISH RUNNING · 3–4 TRAYS · UP TO 40 KG
M·02Host robot (optional)
GREETING · ESCORT TO TABLE
M·03Cleaning robot (optional)
FLOOR SCRUBBING · AFTER-HOURS
Delivery robots
Pudu BellaBot, KettyBot or Keenon T8/T9. Sized to the venue and flow: dish delivery on the floor, delivery to floors and rooms.
Host robot (optional)
Pudu KettyBot at the entrance or reception — greets and guides guests, sets the first impression. Optional.
Cleaning robot (optional)
Pudu CC1 or Gausium Phantas for off-hours and night cleaning of the dining room or lobby. Removes routine from staff.
POS/PMS integration
Pairs with iiko, R-Keeper, Toast, Square or a hotel PMS — orders flow into the robot's route automatically.
Training and launch
Staff training, service protocols and on-site support in the first weeks after go-live.
- M·01
Delivery robots
Pudu BellaBot, KettyBot or Keenon T8/T9. Sized to the venue and flow: dish delivery on the floor, delivery to floors and rooms.
- M·02
Host robot (optional)
Pudu KettyBot at the entrance or reception — greets and guides guests, sets the first impression. Optional.
- M·03
Cleaning robot (optional)
Pudu CC1 or Gausium Phantas for off-hours and night cleaning of the dining room or lobby. Removes routine from staff.
- M·04
POS/PMS integration
Pairs with iiko, R-Keeper, Toast, Square or a hotel PMS — orders flow into the robot's route automatically.
- M·05
Training and launch
Staff training, service protocols and on-site support in the first weeks after go-live.
REV.2026 · 05 MODULES
How rollout runs
From kickoff to handover — five linear stages. Each one delivers a concrete output, names the accountable side, and has a stated duration. Total budget, exact dates and the risk register are locked in the contract.
- 01/051—3 days
Site survey
Survey of the dining room and/or floors, guest-flow analysis, POS/PMS compatibility check.
Lead · Nexum CN remote + client manager
▣ Stage deliverableRoute plan + POS/PMS compatibility checklist
- 02/052—3 weeks
Procurement and customs
OEM batch procurement with factory acceptance, delivery to the client's country.
Lead · Nexum CN + OEM
▣ Stage deliverableFAT report + delivered batch with full accessory kit
- 03/052—3 days
Mapping and integration
Route deployment in the dining room and on floors, charging-station setup, POS/PMS integration.
Lead · Nexum field engineer
▣ Stage deliverableLive routes + working POS/PMS integration
- 04/051—2 days
Training and trial shift
Staff training, trial shift with the robots, route tuning under real guest flow.
Lead · Field engineer + client shift
▣ Stage deliverableTrial-shift log + tuned routes
- 05/051 week
Launch and support
Controlled go-live, phased ramp to full load, handover of operating procedures to staff and start of service support.
Lead · Nexum + client-side owner
▣ Stage deliverableAcceptance protocol + operating procedures and service support
REV.2026 · 05 STAGES
Pudu and Keenon robots already work in tens of thousands of restaurants and hotels
Deployments across HoReCa networks in China and Southeast Asia. For your venue — restaurant, café or hotel — we'll adapt equipment of the same class to the layout and guest flow.
Haidilao Hot Pot
- Scale
- 1 000+ restaurants in China
- Robots
- BellaBot · KettyBot
One of the largest BellaBot/KettyBot deployments in the HoReCa industry. Per public data — improved table turnover and reduced dish-delivery time. Specific economics depend on the restaurant format.
Sushiro (Japan)
- Scale
- 200+ venues across Asia
- Robots
- BellaBot
Per public data — improved table turnover and reduced dish-delivery time when delivery robots are used.
Hotel chains in China
- Scale
- Thousands of rooms · room service
- Robots
- Keenon · Pudu (room delivery)
Public cases of automating delivery to rooms and floors: robots carry room-service orders and amenities, offloading staff on evening and night shifts. Exact economics depend on the hotel format.
Manufacturer reference cases from public sources and industry reviews. Specific figures depend on the site and are confirmed by a calculation after audit.
REV.2026 · REF 3/3
Payback on your inputs
Enter your inputs — get an estimated payback period. Final proposal is prepared after a short audit.
Your inputs
Total dining-room capacity
Per guest, in USD
Monthly cost, USD
Result
- Package cost (estimate)
- 2 ×$42,000
- Annual saving
- $50,000
- Payback period
- 10 mo
▣ Annual saving — breakdown
- Labour cost reduction$14,000
- Revenue uplift (marketing effect)$36,000
Indicative calculation. In Simple mode it captures direct labour-cost effect; Advanced additionally adds error losses, revenue uplift and operational effects. A full proposal is prepared after a short audit of your site.
Numbers locked in
Save this scenario — we'll prepare a proposal
We tailor a commercial proposal to your site and reply within one business day, in your timezone.
REV.2026 · CALC LIVE
Request a quote for the “Restaurants & HoReCa” package
Initial response — usually within one business day. Preliminary configuration and budget — after we clarify the site parameters.
REV.2026 · INTAKE