Conferences 2024

- A brief overview of the importance of AI in the industry.
- The role of the packaging and labeling industry in the global supply chain.
- Goal of the debate: to analyze the benefits, application examples and challenges of AI.

- Productivity and precision:
- AI in label printers: improving print quality and eliminating errors.
- Reducing production time with intelligent process management.
- Production flexibility:
- Automatically adjust label designs to meet the requirements of different customers and products.
- Quick response to regulatory changes (e.g., information on food, pharmaceutical labels).

- Customer-level personalization capabilities (e.g., dynamic content, on-demand labels).
- Real-time customization of content to meet regulatory requirements.
- Example: dynamic label generation based on analysis of market data or customer preferences.

- Automation and quality control:
- AI-based vision systems: real-time defect detection.
- Ensure compliance with quality requirements without downtime.
- Materials management:
- Optimizing the use of packaging materials while minimizing waste.
- Intelligent planning and storage of raw materials based on demand prediction.

- Intelligent analytical systems:
- Reduce operating costs through automated analysis and process optimization.
- Reducing packaging waste through precise planning.
- Example: using AI to analyze production data in real time, increasing production efficiency and reducing the risk of downtime.

- Technology challenges:
- Cost of implementing AI in small and medium-sized enterprises.
- Need for specialized staff to operate advanced systems.
- Regulatory and ethical issues:
- Data protection in label personalization systems.
- Compliance with legal standards in different countries.
- Growth prospects:
- Increased investment in intelligent vision and analytics systems.
- Integration of AI with IoT (Internet of Things) technology in manufacturing plants.

- The role of AI as a key driver of transformation in the packaging and labeling industry.
- Encouraging exploration of AI opportunities while addressing technological and regulatory challenges.