Case Studies

ClientSuccess Stories

Real-world results from businesses that automated their workflows with our AI-powered tools.

Logistics & Transportation

Automated Email Quote Processing for International Logistics

🎯Challenge

A freight forwarding company received 400+ quotation request emails daily across multiple regional offices. Each email contained shipping details in various formats (tables, plain text, attachments) from customers worldwide. Manual processing took 5-8 minutes per email, causing delays in quote delivery and lost business opportunities.

💡Solution

Implemented a custom email extraction pipeline powered by NLP and computer vision. The system automatically processes incoming emails, extracts structured data (origin, destination, cargo details, dimensions, delivery requirements), validates information, and integrates directly with their quoting system.

Implementation Details:

✓Multi-format email parsing (MSG, EML, PDF attachments)
✓Entity extraction for shipping details using custom NER models
✓Table detection and extraction from embedded images
✓Integration with existing CRM and ERP systems
✓Real-time Slack notifications for anomaly detection

📈Results

92%

Time Saved Per Email

< 30 sec

Processing Speed

97%

Accuracy Rate

Technologies Used

Google Document AIOpenAI GPT-4AWS LambdaDynamoDBPython FastAPI

“What used to take our team hours now happens in minutes. The system handles complex email formats we never thought could be automated. ROI achieved in under 2 months.”

Operations Director

International Freight Forwarding Company

SaaS Technology

RAG-Powered Customer Support System

🎯Challenge

A B2B SaaS company struggled with response times to customer support tickets. Their knowledge base had 2,000+ articles, policies, and technical documents, but support agents spent 15-20 minutes searching for answers per ticket, leading to delayed responses and customer frustration.

💡Solution

Built a Retrieval-Augmented Generation (RAG) system that combines semantic search across their entire knowledge base with LLM-powered answer generation. Support agents now get instant, accurate answers with source citations, and the system learns from ticket resolutions.

Implementation Details:

✓Indexed 2,000+ documents in vector database (Pinecone)
✓Semantic search with hybrid keyword + embedding retrieval
✓Context-aware answer generation with Claude
✓Source attribution and confidence scoring
✓Continuous learning from agent feedback

📈Results

-85%

Response Time

94%

Answer Accuracy

+3x

Agent Productivity

Technologies Used

Anthropic ClaudePineconeLangChainReactNode.js

“Our support team can now handle triple the ticket volume with the same headcount. The AI finds answers in seconds that used to take 20 minutes of manual searching.”

VP of Customer Success

Enterprise SaaS Platform

Logistics & Transportation

Automated Shipping Document Processing

🎯Challenge

A freight forwarding company processed 5,000+ shipping documents monthly - bills of lading, customs forms, packing lists, and commercial invoices in diverse formats. Manual data entry consumed 200+ hours per month and had a 5% error rate causing shipment delays.

💡Solution

Deployed an AI-powered document intelligence system using advanced OCR and machine learning. The system automatically extracts shipping data (consignee, weights, dimensions, HS codes, carrier details), validates against customs requirements, and integrates with their TMS.

Implementation Details:

✓Multi-format document processing (PDF, JPG, PNG, TIFF)
✓Advanced OCR with multilingual support
✓Table extraction for cargo manifests
✓Automatic validation against customs databases
✓TMS and carrier API integration

📈Results

-90%

Processing Time

<1%

Error Rate

+400%

Monthly Capacity

Technologies Used

Google Document AITesseract OCRPythonAWS S3PostgreSQL

“We can now process in one day what used to take a week. The accuracy is phenomenal, and our team can focus on customer relationships instead of data entry.”

Operations Manager

International Freight Forwarder

Retail & E-commerce

Excel Report Intelligence for Sales Analytics

🎯Challenge

A retail chain received 50+ Excel reports daily from franchises and suppliers containing sales data, inventory levels, and performance metrics in inconsistent formats. Consolidating these reports for executive dashboards required 3 full-time analysts and often had delays of 48+ hours.

💡Solution

Created an automated Excel analysis system that ingests reports in any format, normalizes data, performs statistical analysis, detects anomalies, and generates executive summaries with visualizations. The system learns from historical patterns to identify trends and outliers.

Implementation Details:

✓Automated Excel parsing with schema detection
✓Data normalization and cleaning pipelines
✓Statistical analysis and trend detection
✓Anomaly detection using ML models
✓Auto-generated executive reports with charts

📈Results

< 1 hour

Report Turnaround

95%

Analyst Time Saved

99%

Data Accuracy

Technologies Used

Python PandasOpenPyXLScikit-learnPlotlyAWS Lambda

“Real-time visibility into our entire network changed how we operate. We catch issues the same day instead of discovering them weeks later in manual reports.”

Chief Data Officer

National Retail Chain

Our Impact by the Numbers

5M+

Documents Processed

150+

Clients Served

99.8%

System Uptime

< 2 weeks

Avg. Implementation

Ready for your success story?

Join the businesses that have transformed their operations with AI automation. Let's discuss how we can help you achieve similar results.

Start Your Project View Services