News & Insights

How leading brands in packaging are utilizing AI & ML solutions to optimize their businesses?

Leading brands in packaging are increasingly turning to AI and machine learning solutions to optimize various aspects of their businesses. By leveraging AI and ML solutions, leading brands in packaging are achieving greater operational efficiency, higher product quality, and increased competitiveness in the market. AI and ML algorithms are being utilized for demand forecasting, inventory management, and supply chain optimization, enabling companies to better anticipate customer needs and streamline production processes. Let’s look at a few examples.

Amazon’s Sustainable Packaging:

• Utilizes ML model trained on customer complaints to select suitable packaging materials.
• Reduces waste and shipment damage by 24%, cutting shipping costs by 5%.

Monolith AI’s Predictive Performance Analysis:

• Collaborates with packaging manufacturers and retailers.
• AI predicts packaging performance, aiding faster decision-making and reducing development time and costs.

Nestlé’s Optimized Visual Inspection:

• AI-powered vision systems detect and reject faulty packaging on production lines.
• Ensures consistent quality control, minimizing risks of defective packaging reaching consumers.

Coca-Cola’s AI-driven Smart Packaging:

• Explores smart packaging with built-in sensors monitoring temperature and freshness.
• AI analyzes data to track product quality, enabling proactive intervention and minimizing product loss.