Client Overview
CrossML Private Limited specializes in solving complex technical and architectural problems for organizations, helping them achieve digital transformation, better business strategies, and increased productivity. Our customer-first approach, attention to detail, and innovative solutions ensure exceptional customer experiences and ongoing improvements.
Challenges or Business Objectives
- Logistics Automation: The client, one of Italy’s largest beef importers, faced challenges in manually processing hundreds of beef box shipments daily. This included summarizing inventory, weights, and product information, which was time-consuming and prone to errors.
- Document Processing: The need for seamless extraction of key information from structured and unstructured documents with diverse formats.
- Resume Parsing: Efficiently extracting and structuring data from large volumes of resumes to streamline the recruitment process.
- Text Image Enhancement for OCR: Enhancing OCR efficiency by preprocessing images and handling real-time image artifacts
Logistics Automation
- Deployed an OCR AI-based solution to automate the processing of shipping slips.
- Implemented CNN Deep Learning models to detect valid shipping slips in large image stacks.
- Utilized customized OCR algorithms to extract key information such as product names, weights, and dates.
- Integrated with the client's ERP system for automatic updates of inventory and product details.
Document Processing
- Developed a user-friendly SaaS platform for seamless extraction of tabular and key-value data from documents.
- Automated document digitization, reducing reliance on manual processes and turnaround time by ~86%.
- Implemented reinforcement learning algorithms to enhance extraction accuracy to ~91%.
Resume Parsing
- Built an AI-based system to parse resumes and extract relevant information like names, emails, skills, and education.
- Integrated job matching and score generation algorithms for better candidate ranking.
- Supported data ingestion from multiple sources and provided serverless deployment on Azure Cloud.
Text Image Enhancement for OCR
- Designed an image preprocessing pipeline using traditional image processing algorithms.
- Handled text/document image artifacts such as motion, rotation, and low resolution.
- Tested the solution on a diverse dataset of documents including invoices, resumes, and ID cards.
Development Method - Execution Method
- End-to-End AI Solutions: Designed, developed, and implemented AI solutions tailored to the specific challenges of the client.
- Cloud-Based Deployment: Utilized cloud platforms like AWS and Azure for scalable and efficient deployment.
- Continuous Improvement: Employed QA logging and reinforcement learning to iteratively improve system accuracy and performance.
- Custom Algorithms: Developed intelligent algorithms for OCR, image processing, and data extraction to meet the unique needs of each project.
Impact We Made
- Increased Efficiency: Automated processes reduced manual effort and significantly decreased turnaround times.
- Cost Savings: Reduced manpower costs for document digitization by ~73%.
- Improved Accuracy: Enhanced OCR and data extraction accuracy, achieving up to ~91% accuracy in some cases.
- Streamlined Operations: Simplified logistics, document management, and recruitment processes, improving overall business productivity.
Tech Strategy
- AI & Machine Learning: Leveraged deep learning models, OCR, and reinforcement learning to solve complex data extraction and processing challenges.
- Cloud Computing: Deployed scalable solutions on AWS and Azure, ensuring reliability and performance.
- Digital Image Processing: Applied advanced image processing techniques to enhance the quality of OCR and data extraction.
- Serverless Architecture: Adopted a serverless approach for resume parsing, providing flexibility and cost efficiency.
Conclusion:
CrossML Private Limited successfully delivered innovative, AI-powered solutions that transformed business processes across logistics, document management, and recruitment. By automating tedious tasks, enhancing accuracy, and improving efficiency, CrossML not only met but exceeded client expectations, driving significant value and enabling long-term success in their operations.
