AI-Powered Document Processing System Cuts Costs by 50%
A leading logistics technology provider partnered with FullStack Labs to transform its document processing with an AI solution, achieving greater accuracy, speed, and cost savings in just 90 days.
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90
days to develop
50%
projected savings
4x
faster document processing
Opportunity
A prominent logistics technology provider faced challenges with its existing document processing system. The existing platform, while reliable, struggled with cost inefficiencies and scalability to meet growing daily document volumes.
The company needed a solution capable of handling the high complexity and variability of industry-standard documents while meeting strict accuracy and scalability requirements. They sought a modern AI-driven solution to optimize processes, reduce costs, and provide faster, more reliable results.
Solution
In just three months, FullStack Labs built a working proof of concept for an AI-powered document processing system.
The end-to-end process starts with document ingestion, which captures images via multiple input channels. Classification strategies organize documents into predefined types, streamlining downstream processing.
Advanced OCR and AI models perform data extraction, identifying and structuring critical fields like addresses and carrier names. Finally, the system ensures structured storage and export for long-term accessibility and analysis.
Overall, the AI system is both significantly faster and more affordable than the legacy solution.
Outcomes
4x faster document processing times
The legacy system took an estimated 60 seconds to process each document. The PoC completes document processing in 15 seconds.
50% projected cost savings
The new solution reduces costs by as much as 50%, based on an estimated $1M+ per year cost for the legacy solution.
Near-parity performance
Performance was within 10.4% of the legacy system's precision, 7.0% of its recall, and 1.0% of its F1-score, with projected increases in all scores during the production phase.