Use Case

Enhancing Efficiency in Plastic Film Packaging Development

Abstract

Plastic films are essential in food packaging, providing a protective barrier that preserves freshness, extends shelf life, and ensures product safety. As the first line of defense, these films must combine superior optical clarity for visibility and inspection with advanced barrier properties to protect against moisture, oxygen, and contaminants. Moreover, their direct contact with food requires adherence to stringent regulatory standards, ensuring consumer safety. These critical attributes position plastic films at the intersection of consumer trust, product quality, and industry compliance.

Problem

Balancing Cost, Sustainability, and Performance
In the quest for more sustainable packaging, producers face a complex set of challenges. The transition from conventional plastics to biodegradable alternatives is not straightforward. These materials often come with higher costs due to limited availability and more intricate manufacturing processes. At the same time, they frequently lack the performance characteristics of traditional plastics, such as strength, clarity, or barrier properties essential for preserving food quality.

Producers must carefully balance cost-effectiveness, environmental sustainability, and functionality. This delicate equilibrium is crucial for creating packaging solutions that meet regulatory standards while satisfying both consumer expectations and market demands.

Solution

The Materials Knowledge Center acts as a centralized platform for managing all R&D workflows, from tracking raw material regulations to documenting experiments and their outcomes. By connecting and organizing critical data in one place, it enhances collaboration across teams and eliminates bottlenecks, enabling faster and more efficient product development. This streamlined approach helps organizations innovate more effectively, balancing sustainability, performance, and cost with greater agility.

The Visual Analyzer enables teams to visually assess and compare the impact of various polymers, additives, or process adjustments on product performance. By providing clear, actionable insights, it accelerates the innovation process, helping teams quickly identify the most effective solutions.

AI-Guided Product Development

MaterialsZone AI-Guided Product Development addresses these challenges by analyzing complex datasets, identifying patterns, and predicting outcomes to streamline the product development process.

  • Optimizing Material Selection: The AI engine recommends optimal combinations of polymers, additives, and other materials, helping teams achieve the ideal balance of performance, cost, and sustainability.
  • Accelerating Experimentation: By leveraging historical data and predictive modeling, the platform minimizes the need for trial-and-error experimentation, enabling faster and more efficient development cycles.