300 Properties

Regional Expansion Stalls Without Operations That Scale Instantly.

Every new market you enter requires recruiting, onboarding, and training local ops staff — 60 to 90 days before you have real coverage. At 300 properties, that model costs $350,000+ per year and still leaves you exposed when someone quits. Dimora AI onboards a new market in 48 hours, covers all 300 properties 24/7, and retains every piece of knowledge your team teaches it. Enterprise plan: $3,600/month. No hiring cycle. No onboarding lag.

The Six Ops Problems That Block Growth at 300 Properties

Each one is a direct consequence of scaling faster than your operations model was designed to handle.

Opening New Markets Requires a New Ops Team

Every new market you enter means recruiting, hiring, and training local coordinators who understand the area. Three months before your first guest checks in, you are already paying two people to learn the city. By the time you hit full occupancy, your ops costs are 20% higher than your model projected. You are not bad at expansion. The staffing model is broken at this scale.

Franchisee and Owner Expectations Are Non-Negotiable

At 300 units, you have property owners whose income depends on your service quality. They chose you over the local boutique manager because you promised better systems and more consistent guest care. When a guest leaves a 3-star review because your coordinator gave wrong pool hours, that call with the owner happens. Monthly. And each one chips away at the relationship your growth depends on.

SLA Commitments Are Getting Harder to Honor

You promised property owners sub-5-minute response times across all channels. You promised guests 24/7 availability. You honored those commitments when you had 50 properties and the founder was answering every message personally. At 300, you are running on institutional promises made by a smaller company. The gap between the SLA and the reality widens every quarter.

Ops Team Turnover Is Structural, Not Incidental

The work that property management coordinators do — answering the same questions thousands of times, processing the same message types at high volume, chasing the same payment patterns — is exactly the work that burns people out. Your turnover rate is not a management failure. It is what happens when humans do work designed for machines. Replacement cost per coordinator: $8,000 to $15,000.

Knowledge Loss After Every Departure

Your best coordinator left last month. With them went the intuition about which guests at Property 147 tend to escalate noise complaints, the exact phrasing that works for the tricky early check-in at the mountain properties, and the relationship with the owner of the 12-property sub-portfolio who calls every Thursday. That knowledge was never documented. It is gone. The replacement starts from zero.

Board-Level Reporting Requires Three Days of Manual Work

Your investors want monthly ops performance reports. Your ops director spends 20 hours per month building them — pulling call logs, export guest message data, manually tabulating upsell revenue, cross-referencing payment recovery. The report reflects data that is already 4 weeks old when it lands in your board deck. You are presenting historical artifacts, not operational intelligence.

An Enterprise Operations Layer That Opens New Markets in 48 Hours

Every module is built to scale instantly — no market-specific configuration, no onboarding lag.

Voice AI

SLA-Grade Phone Coverage Across Every Market

Your SLA promises 24/7 availability. Voice AI delivers it — first ring, every time, across all 300 properties and every market you operate in. Call volume spikes during peak season? Handled. New market opened Monday? Voice AI is trained on those properties and answering calls Tuesday. Over 1,800 calls resolved in production. Your ops team handles escalations, not incoming calls.

  • 1,800+ calls resolved in production — first ring pickup, zero voicemail across all properties
  • New market onboarding in 48 hours — properties live on Voice AI the day you activate them
  • SLA-compliant by default: every call answered, every response accurate, every hour covered
  • Escalation routing with full call transcript — your team arrives at complex calls with context
Inbox AI

Uniform Brand Voice Across 300 Properties and All Channels

Six specialist sub-agents draft every guest message in under 10 seconds — Airbnb, VRBO, email, SMS — across all 300 properties. Same tone at property 1 and property 300. Same accuracy on Monday as on Saturday at 2 AM. 6,300+ drafts generated in production from a single portfolio. At 300 properties, the math is simple: consistent quality is only possible with an AI layer.

  • 6,300+ drafts generated in production — each one property-specific and channel-appropriate
  • Uniform brand voice enforced at scale — no style guide meetings, no tone drift between shifts
  • Multi-channel simultaneity: Airbnb, VRBO, email, and SMS handled by the same system
  • Owner SLA reporting: response time data per property, per channel, per week
Revenue Engine

Revenue at 300 Properties That Nobody Has Time to Chase Manually

At 300 properties with 1,200+ monthly reservations, manual upsell management is functionally impossible. The Revenue Engine scans every reservation, checks every turnaround window, and sends every appropriate late checkout, early check-in, and gap night offer — automatically. In production: 470+ offers from a single 130-property portfolio. At 300, that scales proportionally to a revenue stream your staff is not spending any time on.

  • 470+ upsell offers from a 130-property portfolio in production — scales with your volume
  • Checks real turnaround availability before every offer — no double-booking risk
  • Gap night detection fills empty nights across all 300 properties without manual review
  • Revenue attribution by market and property: see which listings drive upsell performance
AI Learning

Knowledge That Survives Turnover, Markets, and Time

Every correction your team makes to a draft is captured and analyzed. Systemic improvements propagate across all 300 properties simultaneously. When your star coordinator leaves after 18 months, the AI still knows everything they taught it. New hires inherit the institutional knowledge from day one. New markets inherit the knowledge base from your existing portfolio. The learning compounds. The turnover cost stops compounding.

  • Accumulated team knowledge persists across all staff transitions — never reset to zero
  • New market properties inherit the full knowledge base instantly on activation
  • Systemic corrections apply to all 300 properties in one update — not property by property
  • Knowledge audit reports show gaps, accuracy trends, and where training is needed
Payment Audit

The Collections Function That Scales With Your Portfolio

At 300 properties with 1,200+ monthly reservations, payment leakage is a six-figure problem. Damage claims, incidentals, and unpaid fees slip through manual processes at scale. Payment Audit runs a daily scan across every property and every platform, sends automated follow-ups on schedule, and escalates to your team only when human judgment is required. The leakage becomes measurable. Then recoverable.

  • Daily automated scan across all 300 properties and all booking channels
  • Automated follow-up sequence handles initial contact through the fourth reminder
  • Escalation with full history: your team sees every prior communication before intervening
  • Board-ready collection reports: recovery rate, average resolution time, total recovered by month
Dashboard

The Ops Intelligence Report Your Board Actually Needs

Real-time operational data across all 300 properties and all markets — call volume, response time, draft accuracy, upsell conversion, payment recovery. Updated continuously, not monthly. Your ops director stops building reports and starts reading them. Your board deck gets current data instead of four-week-old exports. You make decisions based on what is happening today, not what happened last month.

  • Real-time portfolio view across all 300 properties and every market you operate
  • Market comparison: identify which regions are outperforming and which need attention
  • Ops team efficiency: draft approval rate, edit frequency, escalation rate by coordinator
  • Board-level reporting: monthly PDF exports of all KPIs, formatted for investor presentations

See How It Works for Your Portfolio

Book a 15-minute demo. We will walk through your specific setup and show you what Dimora can automate.

Expansion Cost: Traditional vs. AI-Powered

What adding a new market costs with and without an AI operations layer.

New Market, Traditional Model

Local ops hire (salary)$42,000–$52,000/yr
3-month onboarding lag$10,500–$13,000 cost
Knowledge ramp time60–90 days to full coverage
Turnover exposure$8K–$15K every 18 months avg
First year total$60,500–$80,000

New Market, Dimora Model

Incremental Dimora cost$9–$12/property/month
Onboarding lag48–72 hours to live
Knowledge ramp timeDay one — inherits full KB
Turnover exposure$0 — AI retains knowledge
First year totalIncremental only

The expansion advantage: With Dimora, entering a new market costs the incremental per-property fee — not $60,000 to $80,000 in year-one staffing costs. Your expansion speed is limited by property acquisition, not ops hiring cycles.

The Business Case for Enterprise at 300 Properties

Enterprise plan at $12/property/month. Cost comparisons based on standard U.S. property management staffing benchmarks.

$3,600/mo
Enterprise Plan (300 Properties)
vs. $350K+/year ops team
$43,200/yr
Dimora Annual Cost
Full platform — all 6 modules, all 300 properties
1,800+
Calls Handled
In production — no voicemail, every market
48h
New Market Onboarding
From first call to live on new properties

Cost comparisons use standard U.S. property management staffing benchmarks. Production data from Desert Sol Real Estate, Palm Desert, California — 130+ properties on Guesty. Estimates for 300 properties extrapolate from this production baseline.

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