Sena Decision AI shows property teams what buyers and renters want in a home, what they would pay, and what rival developments build. Every figure traces to the team's own sales and leasing files, a buyer or renter answer, or a dated property photo.
Real estate analytics usually reads closed sales, listing prices, days on market, and rent rolls. The next phase depends on what buyers and renters want now.
Comparable sales show what similar homes closed at. A new phase sells to buyers who name their own budget and must-haves.
Sena:Sena captures what buyers would pay and which features they rank first, by segment and market.
A real estate feasibility study assumes bedrooms, sizes, and amenities long before launch. Buyers and renters judge that mix on the day they tour.
Sena:Sena captures the unit types and amenities buyers and renters would choose, in each market.
Brochures show what a rival development plans. Buyers compare what it has built.
Sena:Sena captures a dated, geo-verified photo of each named rival property, showing its amenities, visible condition, and signage.
These four decisions add buyer and renter answers and property photos to real estate analytics.
Buyers and renters state which features they would trade for a lower price, and which they would pay more to keep, by segment and market.
Decides:Which unit mix and amenity package the next phase launches with.
See product decisions →Buyers state their budget, the homes they compared, and the incentives that would close the sale, market by market.
Decides:Which list prices and incentives each unit type opens at.
See revenue and pricing decisions →Sena compares each named rival property's photographed amenities with the team's plan, and buyers name the features that would move them.
Decides:Which amenities and finishes close the gap first.
See strategy decisions →For neighborhood analysis, residents state what draws them to an area and what would make them move out. Dated photos confirm the services present in each named neighborhood.
Decides:Which neighborhoods enter the land pipeline next.
See growth decisions →Sena reads files from the team's real estate analytics platform and traces each figure to its capture.
People in Sena's consumer network share their own plans and budgets by choice.
Each photo shows a named property on its capture date, with its location attached. Every capture clears a multi-level QA flow before it counts. Sena declines a capture that misses the check, and the decline stays visible.
In real estate analytics, absorption planning starts with two figures: the units in the next phase and the share the team expects to sell at the planned price. Both come from the team's plan and sales pace, checked against the budgets buyers name.
The units-in-reach calculator shows the units in reach and the sales value they carry.
A walkthrough runs Sena on one home type in one market, up to the launch price list.
Pick the closest fit, and the walkthrough starts from that team's question.
Real estate developers set unit mix and amenities from what buyers and renters say they would choose.
Book a development walkthrough →Pricing teams set list prices and incentives from the budgets buyers name.
Book a pricing walkthrough →Leasing teams plan rental communities around what renters say they value and would pay.
Book a rental walkthrough →Land teams pick the next neighborhoods with residential real estate data analytics from resident answers.
Book an acquisitions walkthrough →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 |
|---|---|---|
| Pricing | Comparable sales and list prices | The price buyers would pay by unit type |
| Unit mix | Mix assumed in the real estate feasibility study | The unit types and sizes buyers and renters would choose |
| Rival projects | Marketing brochures and site tours | Dated photos of each named rival property |
| Neighborhood analysis | Demographic and permit tables | What residents say draws them in or would move them out |
| Auditing | Sales files reconciled line by line | A source answer or photo for every figure |
Talk to the Rwazi team about one home type, one market, and the decision on the table this quarter.