Predict the best price
Forecast demand, sales probability, recommended range, and profit impact before a price goes live.
Buildesly - Revenue OS - Web App - early access now open
AI dynamic pricing for real estate developers.
Buildesly - Revenue OS - Web App helps developers optimize prices, discounts, demand signals, inventory, and investor reporting from one AI revenue cockpit.
Predictive pricingAI discountsInvestor reports
Built for developers
Executive-ready
No spreadsheet chaos
Revenue cockpit demo
A premium operating view for every pricing decision.
Explore how pricing recommendations, demand signals, risk alerts, and investor-ready explanations come together in one executive dashboard.
Live project
Northline Residences
46 eligible units · Q2 pricing cycle
AI activeInvestor report ready
Revenue upside
+EUR 412K
Projected gain across 46 eligible units.
Avg. price move
+4.8%
Recommended increase for high-demand inventory.
Demand index
86/100
Leads and reservations are above baseline.
Units at risk
7
Slow-moving units need campaign review.
Demand forecast
Next 8 sales weeks
W1
W2
W3
W4
W5
W6
W7
W8
AI decision summary
Demand rose for mid-floor 2-bedroom units while competitor supply tightened. Increase listed prices by 4-6%, keep approval required, and review discount caps after 14 days.
Competitor supply tightened on 2-bedroom units
Discount leakage reduced by EUR 76K after approval rules
Investor update ready with pricing rationale
UnitCurrentAI rec.DemandAction
2BR Mid FloorEUR 184K+5.2%HighApprove
1BR Park ViewEUR 142K+3.4%RisingReview
Studio Low FloorEUR 92K-3.0% campaignWeakDiscount
AI pricing simulator
Test a pricing move before it reaches the sales team.
Adjust price increases, discount policy, and sales velocity to see the projected revenue impact before a recommendation goes live.
Scenario output
Pilot pricing simulation
Projected uplift
+EUR 1,072K
Estimated gain from price, discount, and velocity changes.
Avg. unit price
EUR 200K
Blended average across eligible inventory.
Risk level
27/100
Higher price moves increase risk without demand support.
Units modeled
46
Inventory included in this pilot scenario.
Scenario revenue curve
Baseline to AI-guided pricing
S1
S2
S3
S4
S5
AI recommendation
Apply the scenario to high-demand units first, keep manual approval for low-floor studios, and re-check discount caps after 14 days.
Manual pricing is slow
Most teams still review prices in spreadsheets, meetings, and disconnected market reports.
Discounts leak margin
Campaigns are hard to govern when demand, inventory, and approvals live in separate workflows.
Investors need clarity
Executives need simple explanations for why prices changed and what impact they created.
The platform
Everything a developer needs to run revenue decisions.
Buildesly - Revenue OS - Web App connects pricing, demand, competitor intelligence, discounts, inventory, approvals, and reporting into one operating system built for real estate revenue teams.
Pricing dashboard
Dynamic pricing rules
Predictive pricing
Scenario simulator
Competitor pricing
Demand tracking
Discount engine
Investor reporting
Inventory sync
Admin approvals
AI workflows
Simulate every move
Ask what happens if prices rise 5%, discounts drop 10%, or slow units need a campaign.
Catch revenue leaks
Detect underpriced units, suspicious differences, demand drops, and risky manual overrides.
Explain the strategy
Generate plain-language investor updates that connect pricing changes to revenue outcomes.
Market ready
A product story buyers understand in five seconds.
Buildesly - Revenue OS - Web App is positioned as the AI Revenue OS for real estate developers: a focused, painful, high-value problem with a clear buyer and measurable ROI.
Clear promise: AI dynamic pricing for real estate developers
One-line benefit: sell units with better prices, smarter discounts, and fewer spreadsheet decisions
Conversion CTA: join the early access list for product updates and demos
Maker story: built because real estate pricing is still fragmented across sheets, calls, and gut feel
Why teams buy
More margin, fewer pricing meetings.
Increase margin per unit without slowing sales velocity
Replace spreadsheet pricing reviews with governed AI recommendations
Control discounts with approval policies, limits, and audit logs
Connect demand, inventory, competitor data, and investor reporting
Give sales, finance, and executives the same revenue cockpit
Early access
Request a premium pilot.
Tell us who you are, how many units or projects you manage, and what revenue problem you want to solve first.
Best fit for developers, sales directors, investors, and brokers validating revenue operations.
FAQ
Does Buildesly replace pricing managers?
No. It gives pricing managers better forecasts, simulations, and explanations so they can approve decisions faster.
Can AI recommendations require approval?
Yes. Rules can run in manual approval, semi-automatic, or automatic mode depending on your governance policy.
What data does the engine use?
Historical prices, sales, demand signals, unit attributes, discount history, inventory status, and competitor benchmarks.
Who is it for?
Real estate developers, sales directors, pricing teams, revenue teams, and investor reporting teams.