Tredegar Surface Protection Announces Resin Index Based Pricing Plan

Sonoco announced it is implementing a $50 per ton price increase for all grades of uncoated recycled paperboard (URB) in the United States and Canada, effective with shipments beginning May 30, 2022. Sonoco said the price change reflects continued tight market conditions and inflationary pressures on manufacturing costs, including energy, freight, chemicals, packaging materials and labor. “Unfortunately, the conditions that challenged us in 2021 have not dissipated in 2022. We continue to be challenged by strong demand, increasing backlogs and inflating costs,” said Tim Davis, Division Vice President and General Manager, Paper – U.S. and Canada.

Sonoco has announced a new research partnership with Clemson University: the Sonoco FRESH (Food Research Excellence for Safety and Health) initiative will develop new technologies and new forms of packaging to optimize the fresh food lifecycle. “Sonoco is committed to serving fresh brands, using packaging to tackle the challenges they face,” said Sonoco President and CEO Jack Sanders. “Optimizing fresh food packaging to extend shelf life and maintain quality makes fresh produce more accessible to communities, and helps brands and retailers extend sales opportunities and eliminate food waste. “Each year, the food industry loses $15.6 billion due to food spoilage at retail. Modifying packaging design to extend shelf life by even one day can recover $1.8 billion of that loss – while feeding more people and reducing waste to landfills.” To establish the multi-disciplinary hub for innovation and research to advance fresh food packaging and distribution, Sonoco will contribute $1.725 million over 5 years. The Company will also sponsor business-driven research projects totaling $1 million over that period. Sonoco FRESH is an extension of the partnership that created the Sonoco Institute of Packaging Design and Graphics at Clemson. Click Read More below for additional information.

Amazon is tackling packaging sustainability at scale with several artificial intelligence (AI) technologies. In a corporate blog post, Amazon described how it is using machine learning (ML) approaches and a combination of natural language processing and computer vision to determine how to use the right amount of packaging for the hundreds of millions of products it ships. According to Amazon, these tools have helped it reduce per-shipment packaging weight by 36% and eliminating more than a million tons of packaging, equivalent to more than 2 billion shipping boxes, over the past six years. To make a prediction about whether a given product could be safely shipped in a particular package type, Amazon built an ML model based largely on text-based data from online product listings such as item name, description, price, and package dimensions.