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DecisionVue · Algarve
DecisionVue connects sensors, PMS and back-office data — AI surfaces what matters, humans approve every move, and regional management gets one live operating picture.
Operational vision with decisions you can defend.
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Ranking decisions from live signals
Outlet temperature 6°C below 7-day baseline
AI → Pre-failure pattern — rising kWh with falling outlet temp. Not weather-related.
Action → Maintenance task #4721 · scheduled Thu 10:00 before weekend peak
Cold showers avoided · zero guest compensation
Consumption +22% vs occupancy-adjusted baseline
AI → Bearing wear signature. Correlates with vibration uptick since Monday.
Action → Engineering review queued · parts order suggested
€1,200/month run-cost if ignored
3 line items mismatch PO on weekly batch
AI → 847 rows extracted & matched. Only 3 exceptions surfaced for review.
Action → Finance approves verified items only
4.5 hours of manual matching returned to team
Detected 4 hours before the guest would notice
78%
of hotel chains already use AI
Most adoption is still concentrated in guest chat and customer data — useful, but only one part of the operation.
89%
plan to expand AI in 12–24 months
The next advantage is operational: maintenance, energy, finance, staffing and management decisions.
One
connected operating layer
Existing systems + sensors + AI + workflows, with human approval wherever judgement and guest impact matter.
Source: TravelBI / Turismo de Portugal, reporting the h2c Hotel AI & Automation Study (2025).
In the Algarve, seasonality leaves little margin to react.
AI detects temperature, pressure and energy drift before a guest complaint becomes the first alert.
Usage is compared with occupancy, weather and schedules — not discovered weeks later on a bill.
PMS, POS, maintenance and spreadsheets stay fragmented, so managers reconcile the truth by hand.
Reports, invoice matching and supplier checks consume skilled time that automation can return.
Algarve seasonality reached 55.9% in 2025; when the hotel is busiest, delays and avoidable failures hurt most.
Detect, interpret and act before the guest is affected.
Today
With sensor + AI workflow
The value is not the sensor alone. It is detection + context + action + proof.
No “sold and vanished” — integration and support included.
The software hand-off
The ventabase.com model
Start with one hotel and one measurable pilot.
Phase 1 · Weeks 1–3
Every PMS, POS, license, contract and integration. Assets and resource flows — hot water, HVAC, refrigeration, pools, pumps and meters. Workflows, data gaps and AI use cases that still need human approval.
Deliverable: opportunity map, baseline KPIs, data-readiness score and a 90-day pilot plan. The hotel keeps it.
Phase 2 · Weeks 3–6
Cancel and consolidate duplicate licenses. Pilot sensors on the assets where failure would hurt most. Automate one painful report. Pilot one AI workflow — invoice extraction where finance reviews only the exceptions.
Visible results before scaling.
Phase 3 · Weeks 6–14
One live property and regional dashboard. Integrations with PMS, POS, maintenance, accounting, utility and sensor data. AI-enabled workflows with roles, audit trail and human override — shipped in two-week increments.
One operational layer connected to what the hotel already uses.
Phase 4 · Ongoing
Every initiative gets a before/after number: € saved, hours recovered, incidents avoided. Monthly operating reviews. Training, documentation and admin access stay with the hotel.
The operating rule: if it did not improve a KPI or remove a recurring pain, it does not scale.
Start with one property and one measurable pilot. Scale only after the numbers — and the team — say yes.
Practical applications, prioritised in Phase 1.
| Operation | AI or automation | Human control |
|---|---|---|
| Equipment health | Detect drift and rank alerts from sensor history | Maintenance validates and closes the task |
| Energy & water | Forecast expected use and flag abnormal consumption | Engineering approves any control change |
| Invoices & procurement | Extract, match and surface exceptions | Finance approves payment |
| Housekeeping & staffing | Predict workload and propose a daily plan | Managers set staffing and priorities |
Historial Business — price intelligence platform.
1M+
products monitored daily
Across multiple countries, feeding dashboards used by supermarket chains and pharmacies.
95%+
collection success rate
Reliable data pipelines running unattended, every day — the hard part of any monitoring system.
B2B
paying enterprise clients
Businesses that renew because the numbers are right — architecture, AI and delivery owned end to end.
Where we deliver
Remote-first build and support — on-site walk-throughs and rollout when your operation needs us there.
A senior engineering team, not a slide deck
We are a small, hands-on team of engineers and architects who design, build and run production systems — banking, insurance, logistics, automotive, retail and hospitality. We work in Portuguese, English and Spanish. From Historial Business (price intelligence at scale) to algarveschools.com and custom hotel integrations in the Algarve.
Platform & integrations
PMS, POS, accounting and legacy systems connected into one operational data layer.
IoT & sensor pipelines
Low-cost hardware, reliable ingestion and alerting — the discipline behind 1M+ daily data points.
AI workflows
Detection, forecasting and document automation with human approval built into every step.
On-site delivery
Walk-throughs, training and adoption — the same engineers who built it stay accountable.
We will see the operation together and return with a concrete Phase 1 proposal — scope, access required, timeline and deliverables. No commitment beyond the visit.
Book the walk-through