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 JIFFY.ai Automated 80% of Onboarding Tasks for a Global Professional Services Firm
Professional Services & Consulting
How Accenture Developed a Responsible AI Compliance Program to Ensure Ethical AI Use and Risk Mitigation
Technology & SaaS
How Capgemini Accelerated Sales Velocity with Aptivio’s Buyer Intent AI Platform
Professional Services & Consulting
How Litslink Healthcare Training Uses AI-Driven Personalized Learning and Virtual Simulations to Improve Clinical Skills
Healthcare & Medical
How a Global Technology Firm Automated Screening of 2,000+ Monthly Software Engineering Applicants with AI Recruiter
Technology & SaaS
How Jones Day Uses RelativityOne AI to Automate Document Review and Reduce Costs
Legal