Provider in the field of environmental and waste management
Automated processing and analysis of invoices using document AI. Reduction of manual effort and errors through AI-supported data extraction, analysis and contextualization.increased efficiency and cost savings through optimized billing processes.
A leading provider in the environmental and waste management sector
A leading provider in the environmental and waste management sector with many years of experience in providing sustainable solutions for waste disposal, recycling and resource management was looking for a solution to drastically speed up the billing process. The company operates numerous sites in Switzerland and abroad, employs several thousand people and is a pioneer in the digital transformation of its industry. The company also aims to use innovative technologies to create ecological and economic benefits for customers and the environment.
Business Challenge
- High manual effort in checking and processing invoices.
- Susceptibility to errors due to manual data entry and reconciliation processes.
- Inefficient use of human resources due to repetitive activities.
- Need for a scalable solution to digitize invoice verification.
Solution
- Implementation of Document AI for the automated capture and processing of invoice data.
- AI-supported analysis to validate and categorize invoice information.
- Integration into existing accounting and ERP systems for seamless further processing.
- Use of a human-in-the-loop approach for quality assurance: employees check and validate AI suggestions in low-confidence cases.
Services
- Development and adaptation of Document AI to specific customer requirements.
- Training employees to use the new AI-supported solution.
- Continuous optimization and support for the application.
Technology
- Artificial intelligence (natural language processing, machine learning)
- OCR (Optical Character Recognition) for text recognition
- Cloud-based data processing
- API integration into existing company software
Method
- Agile development and iterative optimization of AI models.
- Data analysis for continuous improvement of recognition accuracy.
- User-centered design for ease of use by employees.
Value
- Reduction of manual processing work by up to 80%.
- Higher data quality and better traceability of invoice verification.
Future prospects
Expansion of AI-supported document processing to other document types (specifically delivery bills)