Automated Data Extraction & Processing: AI-powered OCR extracts key data from bills of lading, invoices, and shipment records with accuracy.
Seamless Validation & Integration: AI-driven workflows verify extracted data, ensuring compliance and reducing operational errors.
Scalable & Cost-Effective: Eliminate legacy OCR system costs with an AI-powered document automation platform that integrates across cloud environments.

Summary

Faster Document Processing. Lower Costs. Smarter Logistics.

The End-to-End Automation with Document AI solution streamlines document processing for supply chain operations by automating data extraction, validation, and integration. With AI-powered workflows, companies can eliminate manual inefficiencies, reduce operational costs, and accelerate decision-making. By automating key logistics documents—such as bills of lading, arrival notices, and shipment records—this solution improves accuracy, speeds up customs clearance, and optimizes inventory management.

The Main Problem

Manual Document Processing Creates Bottlenecks in Supply Chain Operations

Supply chain and logistics companies heavily rely on manual, labor-intensive document processing for bills of lading, shipment records, and customs paperwork. This results in processing delays, human errors, and operational inefficiencies, causing disruptions in customs clearance, inventory management, and overall logistics flow. Without AI-driven automation, organizations struggle with high processing costs, compliance risks, and slow turnaround times.

Manual document processing leads to slow operations and human errors
Legacy OCR systems increase costs without delivering efficiency gains
Paper-based workflows delay customs clearance and inventory management

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Pain Point #1

Struggling with Slow, Error-Prone Document Processing?

Manual handling of bills of lading, invoices, and shipment documents increases the risk of data entry errors, processing delays, and compliance issues. AI-driven automation extracts, validates, and integrates data instantly, ensuring faster workflows, improved accuracy, and reduced operational risk.

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Pain Point #2

High Costs from Legacy OCR & Inefficient Workflows?

Many businesses rely on expensive, outdated OCR systems, leading to high costs and limited efficiency. AI-powered document automation consolidates processing into a scalable, cloud-based workflow, eliminating redundant systems and reducing operational expenses.

Pain Point #3

Customs Delays & Inventory Bottlenecks Due to Paper-Based Processes?

Manual processing of customs brokerage documents and shipment records slows down inventory movement and causes delays in logistics operations. AI automation ensures real-time document processing and seamless integration, accelerating customs clearance and improving supply chain flow.

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JP Grace
Chief Technology Officer
Endear

As our customer base grew, we ran into PostgreSQL vertical scalability limits and problems like CPU, memory and connection exhaustion. We were thrilled the solution gave us a drop-in PostgreSQL replacement with much more efficient reads and writes. The solution requires less CPUs to hit our throughput and latency goals, lowering our cost by 40-50% and preparing us for the next phase of customer growth.

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