Run your property smarter — without changing the systems you already run.
Predictive maintenance, sentiment alerts, energy savings, occupancy flow, wellness personalisation. One operating picture for the GM, the maintenance manager, the spa director and the front desk — built on your PMS, POS, BMS, IoT and reviews. Not a replacement. A layer on top.
The numbers a GM tracks. Moved in the right direction.
Benchmark ranges from documented hotel-AI deployments — energy, downtime, sentiment latency, guest-profile fragmentation. Your results depend on your property and your data.
Reductions documented in comparable AI-orchestrated hotel deployments (HVAC + lighting + occupancy-aware control).
The Deloitte benchmark for AI predictive maintenance across asset-heavy operations.
Same benchmark — fewer emergency callouts, more planned repairs done before failure.
Pool complaints, F&B feedback, in-app chat — surfaced within hours, not the next NPS quarter.
PMS, POS, spa, F&B and reviews resolve into a single profile that travels across stays.
Ops, F&B, spa, housekeeping and front-of-house see the same record — not five fragments.
Figures drawn from public hotel-AI deployment case studies and industry research — Deloitte's AI predictive-maintenance benchmark; smart-hospitality energy-optimization case studies covering mid-scale to upper-upscale portfolios. Ranges, not promises. Property-specific projections are shared during scoping.
Six things your team catches that yesterday would have missed.
Every event below is caught, classified and routed to the team that owns it — with the source attached. No reading dashboards at the end of the week to find out what happened on Monday.
Where it touches your property.
One system across every part of the operation — from the front desk to the engine room. Nine outcomes, plotted on the zones that own them.
Nine things your team stops doing manually.
Each card below is what the person who owns it sees on a Tuesday morning — not what an engineer would say it is. The data plumbing matters; how it lands on your team's screen is what changes the property.
Predictive maintenance
A ticket on Tower B Floor 4 at 04:12 — HVAC vibration spike.
Twelve rooms held back from sale until it's resolved. No more guest complaints about a unit that should have been replaced last month. HVAC, plumbing, lifts, kitchen equipment — anomalies caught the day they start.
Smart staff scheduling
Tomorrow's roster, built from today's bookings.
Occupancy, event load and historical demand resolve into a schedule a manager can approve, not assemble from scratch. Less overstaffing on quiet nights, less understaffing on event days.
Housekeeping prioritisation
Today's order, not yesterday's rotation.
Rooms sequenced by check-in time, guest profile, floor route and current sensor state. The early arrivals and the VIPs land in rooms that were ready for them — not the next room on a static list.
F&B & inventory forecasting
Tomorrow's covers, surfaced against today's bookings and the weather.
Kitchen inventory and bar stock reslotted before procurement orders ship. Food waste drops. Margin holds. The procurement order matches the night the property is actually going to have.
Live occupancy & crowd flow
Lobby, pool, dining — live density on a map of the property.
Bottlenecks flagged before they become guest complaints. Staffing rebalanced in real time when the lobby goes into peak at 08:30 or the pool fills up at 14:00.
Wellness personalisation
Spa and F&B see the same guest, not three fragments.
Sleep history, last spa visit, stated nutrition goals — one record. The same guest stops getting asked the same question by three different teams. Personalisation lands at every touchpoint, not just the one that captured the preference.
The returning-guest profile
The guest who arrives in two years is met as who they became.
Preference learning across stays. The personalised welcome matches who the guest is now — not who they were on their first visit. Loyalty stops feeling like a points program and starts feeling like a relationship.
Sentiment intelligence
A pool complaint surfaces in hours. Not the next NPS quarter.
Reviews, in-app chat, support tickets, voice and surveys — one stream. Dissatisfaction caught before it becomes a public review. The team responsible knows before the guest hits Tripadvisor.
Hidden operational patterns
Why is the spa empty when F&B is overbooked?
Patterns that span teams — slow F&B + low spa rebookings + mid-shift housekeeping delays — resolve into one root-cause brief on the GM's screen. The cross-team correlation no spreadsheet was going to find.
Pre-arrival to loyalty — one continuous record.
Operations is half the system. The guest is the other half — one record across stays, not five fragments across systems.
Pre-arrival
Past preferences resolved across stays. Personalised options sent without asking what the guest already told you.
Arrival
Room readied against current sensor state. Front desk briefed on context the PMS alone doesn't carry.
In-stay
Spa, F&B, wellness and activities adapt to live signal — what was used, what was skipped, what's busy.
Departure
Sentiment captured before the review goes public. Loyalty triggered against the stay that actually happened.
Between stays
The profile keeps learning. The next arrival is met as who the guest became, not who they were.
What changes for the team running the property.
Seven systems. Three spreadsheets. Weekly reconciliation meetings.
- Each team is right about its own data and wrong about the others.
- Maintenance issues surface from a guest complaint, not a sensor.
- Sentiment shows up in the quarterly NPS — after the review goes public.
- Spa, F&B and front desk each have a different version of the same guest.
- The GM sees Monday's numbers on Friday.
One screen. One record. Alerts that route themselves.
- Every team is working from the same underlying record.
- Maintenance issues surface from the sensor, before the guest notices.
- Sentiment shows up in hours, routed to the team that owns the fix.
- One guest. Spa, F&B and front desk see the same person.
- The GM's morning brief includes yesterday — by the time they read it.
Built on what you already run.
Djeed reads your existing systems — PMS, POS, BMS, IoT, CRM, reviews — and puts them into one operating picture. No migration. No vendor switch. The stack you already pay for is the foundation.
What you already pay for.
- PMS · POS · CRM · ERP
- Spa & activities booking
- Building Management Systems, BACnet / Modbus
- IoT sensors, MQTT gateways, ONVIF cameras
- Guest app, staff app, in-room tablets
- Reviews, social, support transcripts, surveys
Reads it. Resolves it. Runs the intelligence.
Djeed sits on top and turns the systems you already run into one operating picture. The same guest across PMS, POS, spa and reviews resolves to one record. Sensors, bookings and reviews flow into one stream. Predictive maintenance, sentiment, occupancy flow, wellness personalisation and the day-end brief all run from there.
For the technical reader: this is Djeed's five-solution flow — foundation → graph/spatial → predictive → operational → decision. Detailed on /solutions.
Their daily work, with less of the chasing.
- Tickets routed before the guest notices
- Briefs assembled, not built from scratch
- Alerts surfaced to the team that owns the fix
- Bookings personalised on actual history
- Reports updated, not exported
- The GM's 7am brief — already on the screen
Plugs into the systems you already run
A sample of the categories and systems we've worked with. Connectors are scoped per engagement; unfamiliar stacks are part of the discovery conversation.
Names and marks listed are trademarks of their respective owners. Inclusion describes integration capability, not partnership or endorsement.
For the curious — the system, running
One property. One operating picture.
An abstract view of what's running underneath. Sources stream in, outcomes fire. Continuous — not a quarterly snapshot.
Your data lives where you choose.
Cloud, hybrid, on-prem or at the edge — Djeed runs the same intelligence wherever the property needs it to sit.
Djeed-hosted in Switzerland
Fully managed on Djeed's Swiss VM. Fastest to start. Default for properties without strict residency constraints.
Cloud + at the property
Sensitive guest records stay at the property; intelligence ships to the cloud. Most common shape for international groups.
In your data centre
The whole layer runs on your hardware. For properties with sovereignty mandates or air-gapped requirements.
At the property
Sub-second decisions where they're needed — predictive maintenance, occupancy flow — on edge nodes inside the property.
| Layer | Cloud | Hybrid | On-prem | Edge |
|---|---|---|---|---|
| What your team sees — dashboards, alerts, briefs | ●default | ● | ● | — |
| The intelligence — predictions, decisions, recommendations | ●default | ● | ● | ◐some, on edge nodes |
| The structured guest + property record | ●default | ◐split — guest record on-prem, intelligence in cloud | ● | — |
| — Djeed sits on top of everything below — | ||||
| Read connectors to your existing systems | ● | ● | ● | ● |
| IoT, cameras, BMS, sensors | — | ◐stays at the property | ● | ◐always at the edge |
| PMS · POS · CRM · spa booking | ◐depends on vendor | ● | ● | — |
| Guest PII, financial, health records | ◐optional | ◐stays at the property | ● | — |
Ready to use, or built for your property.
Pilot one outcome. Add the rest later.
Most properties start with predictive maintenance or sentiment intelligence — the two outcomes with the clearest week-one payback. Live in weeks. Every next outcome compounds on what's already in place, so the second is faster than the first.
- One outcome scoped to your stack — fixed scope, fixed timeline
- First connected outcome live in weeks, not quarters
- You decide where the foundation goes next — or not
The full picture, built for your property.
All nine outcomes. Every team on one screen — delivered for your environment (hybrid, on-prem or edge) and integrated with the stack you already run. For groups whose compliance posture, scale or sovereignty needs go beyond a one-outcome pilot.
- Front desk, maintenance, F&B, spa, GM — one record
- Deploy shape chosen with your IT — cloud, hybrid, on-prem, edge
- Scoped engagement: discovery → build → handover → run
Questions GMs and owners ask first.
Do I have to rip out my PMS, POS or CRM?
+
Do I have to rip out my PMS, POS or CRM?
+No. Djeed reads what you already run. The systems of record stay where they are — Djeed sits on top and makes them legible together.
Where does guest data live?
+
Where does guest data live?
+Your choice. Fully cloud on Djeed's Swiss VM, hybrid with sensitive records staying at the property, or fully on-prem inside your own data centre. The same intelligence runs in all three shapes.
How fast does the first outcome go live?
+
How fast does the first outcome go live?
+First outcome — typically predictive maintenance or sentiment — runs in weeks, not quarters. The second outcome compounds on the first because the foundation is already there, so each one lands faster than the last.
Can I start with one outcome and add the rest later?
+
Can I start with one outcome and add the rest later?
+Yes. Most properties start with predictive maintenance or sentiment intelligence (the two with the clearest week-one payback), then layer in occupancy flow and personalisation as the team gets used to the new visibility.
What's the difference between DjeedX and a custom build for our property?
+
What's the difference between DjeedX and a custom build for our property?
+DjeedX is the ready-to-use workspace running the five solutions on your connected stack — fastest to start. Custom is for properties whose environment, compliance posture, scale or sovereignty needs go beyond the ready-to-use shape — most international groups, mixed cloud/on-prem deployments, or properties with sovereignty mandates.
How are the benchmark numbers on this page calculated?
+
How are the benchmark numbers on this page calculated?
+They are drawn from documented hotel-AI deployments and published industry research (Deloitte AI predictive-maintenance benchmarks; smart-hospitality energy-optimization case studies). They are ranges, not promises. Your results depend on your property's stack, occupancy mix, baseline efficiency, and how much of your existing data is connected. We share property-specific projections during scoping, not before.
Run your property smarter. Start with one outcome.
Tell us about your property and the outcome you'd move first. We'll show you what the connected system would look like, end to end — and the numbers for your specific stack.