Case Studies

PIPE AG – AI Ticket Scanner

About PIPE AG

PIPE AG is a custom-built, enterprise-level solution designed specifically to help farmers to manage communication with their fleets of farming combines, tractors and grain carts. Using IoT and Bluetooth technology, this application connects with multiple sensors and scales on the grain trailer to track each step of the harvesting process.

Learn more about PIPE AG here: www.pipeag.com

The Challenge

Manual data entry has long been a tedious but unavoidable part of doing business in agriculture. Farmers who transfer and sell their crops rely on tickets that capture detailed product data, many of which still exist in paper form.

As the industry becomes more data-driven, these outdated processes create serious challenges. Precision is critical to ensure farmers are paid accurately for their yields. Yet, with hundreds of tickets generated during harvest, each data point must be manually entered into online systems or spreadsheets. A single typo or misplaced number can mean the difference between being paid hundreds or tens of thousands of dollars less than earned.

In addition to costly errors, manual entry consumes hours of valuable time. Recognizing the need to eliminate this inefficiency, PIPE AG set out to create a smarter, automated system to handle ticket data entry, saving farmers both time and profit.

The Solution

The Switchbox team saw this challenge as an opportunity to combine technical expertise with the power of AI. We developed a machine-learning–powered system that reads, interprets, and validates ticket data automatically, no manual input required.

The application uses computer vision and OCR (Optical Character Recognition) to extract data from scanned or photographed tickets. Then, a custom AI model, trained on thousands of historical entries, validates and maps each field to the correct database record, ensuring accuracy at scale. Built within PIPE AG’s existing IoT ecosystem, this integration allows real-time syncing between field devices and the cloud, ensuring that every load, weight, and delivery record is tracked and verified instantly.

As the technology continues to evolve, the team is expanding the AI’s capabilities to handle additional ticket formats, detect anomalies, and continuously improve its accuracy through real-world usage.

The Outcome

While this AI-driven solution’s impact is still being understood, early results are incredibly promising. In early field testing, farms are already seeing the amount of admin time spent in the ticket-entering process reduced by over 85%. Beyond time savings from entry itself, the tool has reduced data errors to nearly 0, help to streamline financial processes, maximize profit, and offer peace of mind.