A leading North American logistics provider faced growing operational pressure as shipment volumes surged. While their TMS platform was robust, the load creation process remained manual — requiring dispatchers to extract and input data from rate confirmation documents. As volumes increased, the lead time before a dispatcher could even begin processing a shipment order grew significantly, creating bottlenecks in the order-to-dispatch cycle. Besides delaying load creation, this added strain to back-office teams and impacted fulfillment speed.
Time-Intensive Workflow
Creating a single load entry took 15–20 minutes, particularly for complex or multi-page documents.
Frequent Data Entry Errors
Typos, missing fields, and interpretation mistakes led to incorrect load data, billing issues, and rework.
Inconsistent Processing
Different planners interpreted rate confirmations differently, resulting in inconsistencies across entries.
Volume-Based Bottlenecks
Manual processing limited the team's ability to keep up with increased load volumes during peak times, leading to backlogs that delayed dispatch and carrier assignments.
Increased Pre-Processing Lead Time
With high order volumes and limited staff, dispatchers experienced growing delays just to access and queue up orders, increasing unprocessed shipments.
To address these challenges, Hyniva designed and deployed Autonomous Document Intelligence Agent — built specifically to transform how load information is extracted and entered into the TMS. This next-gen solution automates the extraction of shipment data from pager invoices and unstructured documents, instantly converting them into actionable TMS records. By eliminating manual data entry, it accelerates turnaround times, minimizes errors, and empowers teams to focus on strategic, value-driven logistics planning.
Manual intervention is now required only for final validation, with the system handling all upstream load creation tasks automatically. Shipment orders no longer sit in queue awaiting manual input — they are processed in real time, improving responsiveness and reducing lead time dramatically.
The result is a seamless, zero-touch experience — delivering consistency, accuracy, and operational speed at scale.
Versatile File Handling
AI Agent intelligently extracts data from PDFs, images, and handwritten documents with seamless precision.
AI-Driven Data Extraction
The GenAI engine identifies and extracts 70+ logistics-specific fields with contextual and geographic awareness for accurate, carrier-aware processing.
Zero-Touch Load Generation
A complete, pre-filled load entry is generated within seconds, requiring only minimal review.
Built-In Intelligence
Context-aware automation with real-time tracking reduces burnout while enhancing performance and employee satisfaction.
With Hyniva's Autonomous Document Intelligence Agent, the client's TMS operations have evolved from manual and error-prone to intelligent and autonomous. By embedding AI at the core of load creation, they've gained speed, accuracy, and scalability — and positioned themselves for the next wave of logistics innovation.
From backlogs and manual bottlenecks to a fully automated, real-time workflow — the logistics provider has redefined its load creation process through Hyniva's GenAI-powered innovation. With document intelligence at the core, shipment data is now extracted, processed, and integrated with speed, accuracy, and zero manual touch.
The result: load entries completed in seconds, costs cut by over 99%, and scalable operations that keep pace with demand. This shift not only optimized fulfillment but also positioned the company at the forefront of AI-driven logistics transformation.
Hyniva's GenAI solution didn't just improve performance — it changed the game.