IoT: The New Face of Employee Empowerment
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Optimizing Work Order Processing with AI-Powered Document Automation
Industry
Facility Management
Project
Data Scraping
What we delivered
UI/UX, AI
The Client
National Janitorial Solutions (NJS) is a premier janitorial services provider with over 35 years of experience, serving clients across the US. With operations spanning 50 states and 18,000 locations, NJS delivers cleaning services across 10+ industries, including healthcare, retail, and education.
The Problem
With over 50,000 work orders processed daily, NJS faced a significant operational challenge in managing and categorizing a vast number of documents.
The manual process of extracting key data—such as PO numbers, vendor names, and invoice numbers—was time-intensive, leading to inefficiencies and high labor costs. Additionally, the existing system required excessive manual intervention, increasing the risk of errors and delays.
NJS needed a scalable AI-powered solution to streamline document classification, automate data extraction, and reduce processing time while ensuring accuracy.
The Solution
We deployed a custom AI and automation solution to optimize document handling and work order processing. The system was designed with a five-step AI integration approach:
1
Document Classification
PDFs extracted via email integration were initially unclassified. The AI system was trained to categorize them by type.
2
Google Document AI
Leveraging Google Document AI, trained on 300+ documents, we ensured precise document classification at an affordable cost of $3 per 1,000 pages.
3
Text Extraction
Key fields such as PO numbers, vendor names, and invoice numbers were extracted for seamless data association.
4
GPT-3.5 Turbo Integration
Extracted text was processed using GPT-3.5 Turbo, ensuring high-accuracy data extraction based on predefined patterns, priced at $1.50 per 1M tokens.
5
DB Storage & Data Display
The system securely stored extracted data points and integrated them into the front-end interface for real-time accessibility.
The Impact
With the implementation of this AI-powered automation, NJS achieved:
400 hours saved per week
reducing manual workload significantly.50,000+ work orders daily
improving efficiency.Significant cost saving sop 1%
minimizing labor and operational expenses.
"Their good talent pool, flexibility to work with us, and ability to overcome technical challenges were impressive."
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