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Industry Specific
VTS AI Platform
VTS AI Platform logo
Industry Specific

VTS AI Platform

The VTS AI Platform is an artificial intelligence suite integrated into the VTS commercial real estate (CRE) ecosystem, designed to transform leasing and asset management workflows. It leverages proprietary data and machine learning models to provide predictive insights, automate manual tasks, and enhance decision-making for landlords, brokers, and asset managers. The platform analyzes market trends, tenant behavior, and property performance to forecast leasing outcomes, recommend optimal pricing strategies, and identify high-potential leads. By synthesizing vast amounts of internal and external data, it aims to reduce vacancy cycles, maximize rental income, and improve portfolio performance. Users interact with its insights primarily through the VTS product suite, where AI-generated recommendations are surfaced within existing workflows for leasing teams, enabling data-driven actions from market analysis to deal negotiation and reporting.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈1.2M visits/month (public web traffic estimate for vts.com, Similarweb, March 2025)
Engagement
0🔥
0👁️
Categories
Industry Specific
Real Estate

Key Features

Predictive Lead Scoring

AI models analyze prospective tenant profiles and behavior to assign a score predicting their likelihood to lease, helping teams prioritize outreach.

Market Rent Recommendations

Automatically generates optimal asking rent suggestions for available spaces by analyzing real-time market comps, supply/demand, and property attributes.

Lease Expiration Forecasting

Predicts the likely outcome (renew, vacate, expand) of upcoming lease expirations using historical tenant behavior and market conditions.

Portfolio Performance Insights

Delivers AI-driven dashboards highlighting portfolio risks, opportunities, and performance trends against market benchmarks.

Automated Deal Analysis

Evaluates potential lease deals in context, projecting long-term value and comparing terms to market standards.

Pricing

Enterprise Subscription

contact sales
  • ✓Access to AI-powered predictive analytics for leasing and asset management.
  • ✓Integration with the full VTS platform (VTS Lease, VTS Market, VTS Data).
  • ✓Predictive lead scoring and tenant matching.
  • ✓Automated market rent recommendations and forecasts.
  • ✓Portfolio performance dashboards and AI-driven insights.
  • ✓Dedicated customer success and support.
  • ✓User seats and permissions tailored to the organization.

Traffic & Awareness

Monthly Visits
≈1.2M visits/month (public web traffic estimate for vts.com, Similarweb, March 2025)
Global Rank
##12,483 global rank by traffic, Similarweb estimate
Bounce Rate
≈42% (Similarweb estimate, March 2025)
Avg. Duration
≈00:03:15 per visit, Similarweb estimate, March 2025

Use Cases

1

Landlord Leasing Team Optimization

Leasing directors and managers use the platform to prioritize a large pipeline of broker and direct inquiries. The AI scores each lead based on fit and likelihood to close, enabling teams to focus time on the hottest prospects. This increases conversion rates and reduces the time-to-lease for vacant spaces, directly impacting NOI.

2

Asset Manager Portfolio Strategy

Asset managers leverage the forecasting tools to model different rent roll scenarios and assess portfolio risk. By understanding which leases are likely to renew or vacate, they can develop proactive capital allocation and re-leasing strategies, providing superior risk-adjusted returns to investors.

3

Brokerage Tenant Representation

Brokers representing tenants use the market intelligence and rent recommendation features to advise clients on fair market value and negotiate optimal terms. The data-driven insights strengthen their advisory role and help secure the best possible deals for their clients in competitive markets.

4

Investment & Acquisition Due Diligence

During acquisitions, investors and analysts use the platform's predictive analytics to stress-test a property's future income. They can model how the current tenant base might behave under different economic conditions, providing a more nuanced view of asset value and potential upside.

5

Executive Reporting and Investor Relations

C-suite executives and IR teams utilize the AI-generated dashboards and forecasts to create compelling, data-rich reports for boards and investors. The platform translates complex portfolio performance into clear narratives about market positioning, future revenue streams, and strategic initiatives.

How to Use

  1. Step 1: Gain access by being an existing VTS customer (typically a landlord, asset manager, or brokerage firm) and ensure your subscription includes the AI Platform features. Onboarding may involve a sales or customer success representative.
  2. Step 2: Integrate your property and portfolio data into the core VTS platform, which serves as the foundational dataset for the AI models. This includes lease information, tenant profiles, property details, and market comparables.
  3. Step 3: Configure the AI models and alerts within the VTS dashboard based on your portfolio goals, such as setting target lease-up rates or defining key performance indicators for predictive alerts.
  4. Step 4: Regularly use the VTS dashboard to view AI-generated insights. This includes reviewing predictive lead scoring for prospective tenants, automated market rent recommendations, and forecasts for lease expiration outcomes.
  5. Step 5: Act on the insights by prioritizing high-scoring leads in your CRM outreach, adjusting asking rents based on AI recommendations, and preparing renewal strategies for expiring leases flagged by the system.
  6. Step 6: Incorporate AI-powered reports and forecasts into asset management reviews and investor communications, using the platform's data visualization tools.
  7. Step 7: Continuously refine the AI's accuracy by providing feedback loop data from your leasing outcomes back into the VTS system, helping to improve future predictions.

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At a Glance

Pricing Model
Paid
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