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

By: GoBeyond Team

August 10, 2026

3 min read

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

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