Hirschbach Motor Lines recently selected Hyperscience enterprise AI as part of its digital transformation strategy to automate document processing and workflows as it continues to scale and deliver safe and reliable transportation solutions.
The veteran-owned transportation and logistics provider specializes in temperature-controlled and long-haul freight services. Each year, Hirschbach processes over 2.5 million documents to run its business. These documents include bills of lading, carrier invoices, fuel receipts, inspection reports, lumper receipts, pallet receipts, toll receipts, trip sheets, washout receipts, and weight tickets.
With the help of the Hyperscience platform, Hirschbach will accurately extract and process key data from this vast array of varied and complex unstructured documents, automating key processes and improving the driver and customer experience, the companies reported.
“The logistics and transportation industry is complex, abundant in data, and brimming with opportunities to revolutionize how business is done,” Hirschbach CTO Ivan Ramirez said in a news release. “Efficient document processing is critical to optimizing operations, ensuring timely delivery and billing, streamlining workflows, reducing errors, and accelerating decision-making; ultimately leading to a better experience for both customers and drivers.
“The implementation of the Hyperscience platform will be pivotal in our next phase of growth and digital transformation. Integrating intelligent automation capabilities aligns seamlessly with our goal to deliver efficient, safe, and high-quality services to our clients.”
By leveraging Hyperscience, Hirschbach plans to transform the driver experience through near real-time validation and a workflow that checks all documents against custom business rules, guaranteeing that required information is present. The Hypercell machine learning platform will accurately classify and extract critical data from both structured and unstructured documents, converting it into machine-readable format. Once validated, this data will flow seamlessly into downstream billing and operational systems, accelerating processes, reducing manual intervention, and freeing drivers to focus on their primary responsibilities: safe, timely deliveries and customer satisfaction.
“Documents are the backbone of all businesses but often these documents, if not handled with promptness and efficiency, can slow a business down and ultimately result in poor customer experiences,” Hyperscience CEO Andrew Joiner said. “By embracing our AI-native hyper-automation platform, Hirschbach is setting a new standard for efficiency and scalability in an increasingly competitive market, empowering them to focus on what matters most—delivering a frictionless customer and driver experience, superior customer service, and enabling continued growth and scale for Hirschbach.”
