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🏢 Real Estate & Property AI · Portfolio Intelligence

Know which tenant will leave
6 months before they do.

Upload maintenance logs, lease data, or occupancy reports. Get predictive maintenance schedules, tenant churn signals, and vacancy root cause analysis in under 30 seconds.

₹2.6Cr/yr

Unplanned Maintenance Savings

480-unit portfolio avg

6 monthsearly

Tenant Churn Signal

Before they leave

2.1 monthspayback

Vacancy ROI Analysis

Subdivision analysis

71% → 89%

Occupancy Improvement

With AI recommendations

Real Pain → AI Solves It

Your team faces these every week.
OpsOracle names them and fixes them.

Actual AI output from real real estate and property management data. Upload your report and get this analysis in under 30 seconds.

The Pain

23% of our 480-unit residential portfolio has unplanned maintenance every year. Average cost ₹3.4L per event vs ₹0.8L for planned. We can't predict what will break next.

Raw data signal

Portfolio: 480 units | Unplanned maintenance events: 112/year | Avg unplanned cost: ₹3.4L | Avg planned cost: ₹0.8L | Avg building age: 8 years | Most frequent: Plumbing 38%, Electrical 29%, HVAC 21%, Structure 12% | Seasonal spike: May–July (monsoon)

OpsOracle AI Output

74% Risk — HIGH — 4× Cost Differential Is Fully Preventable

112 unplanned events at ₹3.4L = ₹3.8Cr/year. Same events planned = ₹0.9Cr. The ₹2.9Cr gap is pure waste. Pattern: plumbing (38%) and electrical (29%) at 8-year building age follow a well-documented bathtub curve — failure rates spike between years 7–12 for these systems in Indian construction. Monsoon is not a random event — it is a calendar trigger that makes deferred maintenance critical.

[THIS WEEK] Action

Pre-monsoon audit (March): inspect all plumbing risers, electrical MCBs, and roof waterproofing in buildings aged 6–10 years. Budget ₹0.8L/planned event × 80% of historical unplanned events = ₹8.96L in prevention budget. This prevents ₹3.8Cr in reactive spending. Implement a Lifecycle calendar: schedule full plumbing overhaul at year 8, electrical audit at year 7, HVAC replacement at year 9.

Expected impact: Reduce unplanned maintenance from 112 to under 30 events/year. Save ₹2.6Cr annually. Tenant satisfaction improves — unplanned maintenance is the #1 driver of lease non-renewal in residential portfolios.

The Pain

We lost 3 commercial tenants last quarter — total ₹28L in annual rent gone. All three said they were 'just leaving' but we had no warning. Leasing team says you can't predict tenant churn.

Raw data signal

Portfolio: 22 commercial units | Tenants churned Q3: 3 | Annual rent lost: ₹28L | Lease tenure at exit: 2.1 years avg | Rent payment history churned tenants: 2 had 3+ late payments in final 6 months | Maintenance complaints filed: churned avg 4.1 vs retained avg 0.8 | Lease renewal discussion: churned = 0 conversations initiated

OpsOracle AI Output

71% Risk — HIGH — 6-Month Churn Signal Was Visible, Went Unread

All 3 churned tenants had 3+ late payments in their final 6 months and filed 4× more maintenance complaints than retained tenants. Late payment = cash flow stress. High complaints = dissatisfaction. Zero renewal conversations = checked out. These are not surprise exits — they are predictable 6-month signals that were never acted on. At ₹28L/quarter in lost rent, each missed early intervention costs ~₹9.3L.

[THIS WEEK] Action

Set a churn alert trigger: any commercial tenant with 2+ late payments OR 3+ unresolved complaints in a 90-day window gets a proactive landlord call within 7 days. Offer: fast-track maintenance resolution + 1-month rent concession for 2-year renewal lock-in. Cost of retention: ₹0.8L. Cost of replacement: ₹2.8L (3 months vacancy + brokerage + refurbishment).

Expected impact: Retain 2 of 3 at-risk tenants/quarter = ₹18L ARR protected. Tenant lifetime value increases by 18 months on average when a proactive retention call happens at the 6-month churn signal window.

The Pain

Our commercial portfolio occupancy is 71% vs market average of 88% in our micro-market. We've been dropping rents but it's not helping — 4 units have been vacant for 9 months.

Raw data signal

Portfolio: 22 units | Occupied: 16 (71%) | Vacant: 6 | Longest vacancy: 9 months (2 units) | Avg rent asked: ₹95/sqft | Market benchmark: ₹88/sqft | Unit size: 4 units > 3,000 sqft | Location: Tier 2 city commercial zone | Inquiries last 90 days: 23 | Conversions: 3 (13% conversion)

OpsOracle AI Output

68% Risk — HIGH — Wrong Unit Configuration, Not Wrong Rent

You dropped rent below market (₹88/sqft ask vs market ₹88/sqft) but still haven't filled 4 large units (>3,000 sqft). 23 inquiries at 13% conversion suggests the units are seen but rejected — a size/configuration problem, not a price problem. In Tier 2 cities, demand for >3,000 sqft commercial units has fallen 60% since 2022 due to hybrid work. These units need to be subdivided or repositioned.

[THIS WEEK] Action

Subdivide the 2 longest-vacant (9-month) units into 2×1,500 sqft units each. Partition cost: ₹4–6L/unit. This converts 2 stuck assets into 4 leasable units at ₹88/sqft × 1,500 = ₹1,32,000/month per unit. For the other 2 large units: pivot to serviced office/coworking operator lease — they absorb large formats at lower rent but 5-year lock-in.

Expected impact: Recover 4 of 6 vacancies within 3 months of subdivision. Increase occupancy from 71% to 89%. Annual rent recovery: ₹63L at current market rates. Partition payback: 2.1 months.

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