Quick Overview
Knock uses AI and predictive analytics to analyze market data and user profiles, efficiently matching buyers and sellers in home trade-in transactions.
Knock
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Reducing time on market and improving buyer-seller matching
Key Metrics
\- Faster transactions\- Reduced time on market\- Improved match rates
The Problem
Manual matching was slow and inefficient
The Solution
Developed AI platform integrating market and user data for predictive matching
Results
\- Accelerated home sales\- Higher match accuracy\- Improved customer satisfaction
Details
Industry
Real Estate
Departments
Sales & Lead Generation
Use Cases
Lead Generation
Sales Analytics
Tags
Machine Learning
Predictive Modeling
Time-Saving
Client Satisfaction
AI Tools Used
No items found.
Sources
https://digitaldefynd.com/IQ/ai-in-real-estate-case-studies/
More Case Studies
See All
How Ava Labs Used AI to Generate Over 3,300 Image Components for Twitter Spaces Backgrounds
Technology & SaaS
How H&M Uses AI Agents to Optimize Customer Engagement and Drive Sales Performance
Retail & E-commerce
How Banks Use AI to Recommend Relevant Financial Products and Increase Customer Engagement
Finance & Banking
How Wrike Achieved 496% Pipeline Growth and 15× ROI with Drift’s AI Chatbot
Technology & SaaS
How Coca-Cola Uses AI to Drive Hyper-Personalized Marketing and Content Creation
Marketing & Advertising
How Bizzabo Uses AI to Personalize Hybrid Event Experiences and Optimize Resources
Hospitality & Tourism