CUSTOMER STORIES | PILLAR TO POST

How Pillar to Post Automated Appliance Label Scanning

Discover how Pillar to Post automated 500K+ appliance data entries with Klippa’s Model Builder, improving efficiency, reducing manual entry, and ensuring fast, accurate inspection reports.
Industry
Home Inspection
Use case
Appliance Label Scan

About Pillar to Post

Pillar to Post is a leading home inspection company operating across the United States and Canada. Their trained inspectors provide comprehensive evaluations of homes, including detailed documentation of appliances.

The Challenges of Manual Appliance Data Entry in Home Inspection

Prior to implementing Klippa, Pillar to Post relied on a manual data entry process that required home inspectors to photograph appliance labels and then type out the model and serial numbers in the company’s online platform. This was time-consuming and prone to input errors, particularly when dealing with small or worn labels.

Given the high volume of inspections across multiple regions, the inefficiency of manual entry added unnecessary delays to report completion and created a risk of inaccurate recording in client documentation.

Before Klippa:

Manual typing of appliance model and serial numbers
Slow report completion due to high inspection volumes
Input errors caused by small or worn labels
Risk of inaccurate data in client reports

The company’s commitment to delivering thorough, accurate, and timely reports for homebuyers and sellers meant this process needed to be both reliable and efficient.

Pillar to Post Automates Appliance Label Scanning with Klippa’s Model Builder

By adopting Klippa’s Model Builder powered by OCR technology, Pillar to Post dramatically reduced the time spent on appliance data recording. Inspectors now simply take photos of appliance labels and upload them to a dedicated Model Builder interface, which has been trained specifically for this use case.

Within seconds, the model and serial numbers are extracted with high accuracy, eliminating the need for manual input. This automation has streamlined the inspection workflow, enabling faster report generation and improving the overall client experience.

Why Klippa

Pillar to Post selected Klippa for its ability to deliver highly accurate OCR tailored to specific label formats, combined with a quick turnaround in developing a customized model for their use case.

The seamless integration into their existing process and the proven time savings, alongside reduced human error, made Klippa the ideal partner to support their operational efficiency goals across North America.

With Klippa:

Inspectors upload appliance label photos instead of manual typing
Model and serial numbers extracted automatically within seconds
Faster inspections and report generation at scale
Higher accuracy with fewer input errors
Custom OCR models trained for appliance labels
Seamless integration into existing workflows

The Benefits for Pillar to Post

Significant time savings per inspection

Automated data extraction allows inspectors to record appliance details in seconds rather than minutes. 

Enhanced accuracy of inspection reports

OCR technology minimizes transcription errors, ensuring client documentation is precise.

Improved workflow efficiency

Faster data processing enables quicker report completion and delivery to clients. 

High-volume scalability

The solution supports approximately 500,000 inspections per year, maintaining consistent performance across regions. 

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