Rwazi built Sena, a Decision AI that shows hotel and hospitality teams what each local market values and pays for, from property photos and consented guest input.
Rate and occupancy data show how properties perform. Guests compare rooms, public areas, and service locally, and that comparison decides what a market calls upscale.
A global standard can overbuild in one market and underbuild in the next, because upscale means something different in each.
Sena. Sena captures competitor properties market by market: public areas, amenities, condition, arrival, and food and beverage.
Rate and occupancy benchmarks show what competitors charge. The experience behind each rate shows at the property itself.
Sena. Sena pairs each rival rate with geo-verified photos of the property that earns it.
Business, leisure, and family guests weigh location, rooms, and service differently from one market to the next.
Sena. Sena captures consented guest input on what earns an upscale verdict and what each segment will pay.
Each hotel data analytics use case below links to its method page, with the signals Sena reads and the questions teams ask.
Sena compares a property with its competitive set on public areas, amenities, condition, and arrival, then sets the gap against what local guests value.
Decides: Where renovation money goes, and how much.
See hotel competitive set analysis →Guests state what they booked, what else they considered, and what would move them to a rival, by segment and market.
Decides: Which offer, rate, or amenity wins the segment.
See purchase drivers analysis →Sena reads each rival's rate beside the public areas, amenities, and condition guests find, property by property.
Decides: Where rate holds and where the property must earn it.
See the competitive set method →Sena captures the competing properties and their amenities, and the stated demand and willingness to pay of travelers in the target market.
Decides: Where to open, at which tier, and at what rate.
See market entry strategy analysis →One property, its competitive set, and the photos behind every score.
Get the competitive set reading →Sena ties every competitor score to the captures behind it, so a team checks each assessment property by property.
Every competitor assessment carries its photos, location, and date, so a score rests on what the property shows.
Guests share priorities directly, with explicit consent, and each capture clears a multi-level QA flow before it counts.
A renovation plan starts with two counts: the amenities local guests call essential, and how many of them the property offers. Sena captures the first from guests and the second from photos of the property and its competitive set.
The amenity gap calculator. Two counts score a property against its market's expectations.
A walkthrough runs Sena on one property and its competitive set, from guest input to the decision on the table.
Book a walkthrough →Pick the closest fit, and the walkthrough opens on that team's decision.
Renovation scope and new openings calibrated to each market.
Book a development walkthrough →Rival rates paired with the property experience that earns them.
Book a revenue walkthrough →Where a global standard over- or under-builds, market by market.
Book a standards walkthrough →Arrival, public areas, and condition against the competitive set.
Book an operations walkthrough →A real Sena reading for one property against its competitive set, with the photos behind every score.
Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.
Sena reads those captures beside the files and systems already in use, across 250+ integrations.
Sena compares the market against the plan and shows each gap, with every figure traced to its source.
| Area | Common method | Sena |
|---|---|---|
| Renovation scope | One global standard for every market | Scope set by the competitive set and local guest priorities |
| Competitive set | Rate and occupancy benchmarks | Rates paired with photos of the property behind each |
| Guest priorities | Review scores and online ratings | Consented guest input on what drives the booking |
| Auditing | Scorecards compiled by hand | Each score opens the property photos behind it |
| New openings | Desk estimates of a destination | Captured rivals, amenities, and stated traveler demand |
Talk to the team about one property, one market, and the decision due this quarter.
Talk to the team →