AI-powered ERP Software for the Waste Management and Recycling Industry
Master Thesis Project
Project Description
This project explores the integration of artificial intelligence into enterprise resource planning systems, specifically tailored for the circular economy sector.
This website presents a master thesis on the use of Artificial Intelligence in ERP systems, specialized for the waste management and recycling industry. The project focuses on developing new approaches for the waste management industry and improving business processes through AI.
Project Website: https://enso-recycling.com
Key Features
Three central aspects of the master thesis in the field of AI-powered ERP systems:
Artificial Intelligence
Integration of Machine Learning and AI algorithms to optimize business processes in the waste management industry.
- Predictive Analytics
- Automated Decisions
- OpenAI Integration
ERP System
Enterprise Resource Planning system specifically developed for the complex requirements of the waste management and recycling industry.
- Laravel 12 Framework
- Livewire 3 Components
- MySQL Database
Circular Economy
Focus on sustainable processes and optimization of resource utilization through intelligent ERP solutions.
- Sustainable Processes
- Resource Optimization
- Environmental Monitoring
Technology Stack
Modern technologies for a future-proof ERP solution:
Backend
Frontend
AI & Analytics
Infrastructure
Research Focus
This website serves exclusively for the presentation of a scientific work on the topic "AI-powered ERP Software for the Waste Management and Recycling Industry". All content presented is part of academic research.
Research
Scientific investigation of AI integration in ERP systems
Innovation
Development of new approaches for the waste management industry
Optimization
Improvement of business processes through AI