Sold by: Quant Property Solutions
How does BestAgentAi help financial service organizations and their customers cut costs, boost revenue, and minimize risk in residential real estate?
Sold by: Quant Property Solutions
Overview
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How to get started with BestAgentAi
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20 Revenue Generating FSO Business Use Cases
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20 Cost Saving FSO Business Use Cases
BestAgentAi can predict which local residential real estate agents will sell a property above or below its market average sale price; a difference of 3 to 8%, translating to tens of thousands per transaction.
This intelligence is why banks, credit unions, mortage brokers, lenders mortgage insurance providers, REITs, RMBS issuers, and a wide range of financial service providers rely on BestAgentAi to drive better financial outcomes for themselves and their customers.
With 40+ business use cases, BestAgentAi delivers paradigm-shifting residential real estate market intelligence through its patented advanced data analytics platform and AI-driven forecasting models.
To see how BestAgentAi can save costs, generate revenue, and reduce risk in your organization, email AWS.BestAgentAi@QuantPS.com today.
Highlights
- Utilising existing data and API feeds, BestAgentAi analyzes terabytes of dormant, fragmented and uncorrelated residential real estate agent sales transaction metrics to generate actionable business insights that can be quickly and quantitatively tested, validated and monetised.
- BestAgentAi is tech stack agnostic and can work with any existing legacy technology that companies want to keep.
- BestAgentAis industry leading 30 Day Paid Proof of Value Program combined with its AWS Marketplace 30 day guarantee de-risks innovation hesitation to simplify, and systemise business use case ROI validation within 3 to 4 weeks.
Details
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Dimension | Description | Cost/month |
|---|---|---|
BestAgent | Monthly | $12,995.00 |
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30 days full refund.
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One hour call backs and email support from ticket country of origin. BestAgentAi wiki, video training and troubleshooting available on demand.
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