How Knock Uses AI to Streamline Home Trade-In Process and Improve Match Rates

By: GoBeyond Team
July 3, 2025
3 min read
Knock AI home trade-in dashboard

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
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 International Rescue Committee Implements AI Chatbot to Streamline Refugee Claim Processing
Nonprofit & NGO
How American Eagle Reduced Live Chat Volume by 20% and Improved Customer Satisfaction with AI Chatbot
Retail & E-commerce
How Salesloft Uses AI for Deal Risk Analysis and Forecasting to Improve Close Rates
Professional Services & Consulting
How SciPlay Optimized Retargeting Campaigns Using Pecan’s AI-Powered Predictive Analytics
Media & Entertainment
How Skanska’s Project HALO Uses AI-Powered Robotics to Automate Labor-Intensive Construction Tasks
Construction
How Infosys Implemented an IAM Solution to Improve Governance, Compliance, and Business Agility for a Multinational Consumer Goods Company
Retail & E-commerce

🤖 Chat with AI

Type...