CASE STUDY
Real Estate Firm Unlocks $12M ROI with Predictive Portfolio AI
Summary
Company: $55M commercial real estate firm, 250 staff, 40 properties.
Wrong Starting Thought: “We just need a property management app.”
Why That’s Wrong: A single app would only show part of the picture — leading to bad lease decisions and higher vacancy.
WhatIf Approach: Strategy-first plan. Step-by-step rollout → clear portfolio dashboards → AI for pricing and maintenance.
Results: $4M ROI in 90 days, $12M ROI in one year, 30% lower vacancy.
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Company: $55M commercial real estate firm.
Problem: Leasing decisions were slow; data was scattered across systems.
Win: $12M ROI and faster lease-ups.
Transformation: Went from guessing with spreadsheets to making data-driven decisions with predictive insights.
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Challenges:
Leasing teams couldn’t see performance across all 40 properties.
No single source for occupancy data.
Vacancy rates were climbing.
Hidden cost: about $8M in annual income lost to slow leasing.
If nothing changed: Asset values would keep dropping, and investor confidence would erode.
If they just added tools: Off-the-shelf apps wouldn’t connect their data — leading to half-truths and bad calls.
Frustration: CFO: “We’re making $100M decisions in Excel. It’s terrifying.”
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$4M ROI in 90 days
$12M ROI in year one
Vacancy reduced by 30%
Leasing cycle 40% faster
WhatIf Solution (1–1–1 Formula)
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Mapped out an AI strategy that revealed $12M in upside. ROI math: avoided vacancy losses ÷ $600K investment.
1
Day
Launched property and tenant dashboards. ROI: $4M return on $800K cost (5x).
1
Quarter
Rolled out in order: (1) Dashboards, (2) AI lease pricing, (3) AI maintenance. Together, they delivered $12M ROI.
1
Year
CLIENT FEEDBACK
“We finally know which properties will win before the market tells us.”
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