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GLOBAL RESEARCH ARCHIVE

Packaging: AI in Packaging: Forging the new competitive edge

Published: 2026-05-12Institution: Deutsche BankCompany / ticker: CCK.N,SLGN.NPages: 15Original language: 英语Evidence page: 3

Research evidence excerpt

Packaging: AI in Packaging: Forging the new competitive edge

planning. This AI-infused platform creates a more connected and intelligent

process by using predictive algorithms to improve forecast accuracy,

automating routine financial tasks, and continually monitoring data for

hidden trends. By deploying this platform, PKG enables its finance

organization to shift from manual data aggregation to high-value

strategic analysis, embedding data-driven intelligence at the core of its

corporate strategy.

n Graphic Packaging (Materials & Inventory Optimization) - To gain control

over its complex inventory data, Graphic Packaging deployed Verusen's AI-

powered platform. Verusen’s AI engine connects to GPK's various ERP

systems, analyzes materials-purchasing data, and identifies optimization

opportunities across its entire network. The results were immediate and

substantial. According to Verusen’s case study, the platform identified

over $20 million in savings opportunities for GPK within the first 30 days.

This demonstrates a powerful AI application that uses intelligence to clean

up complex operational data and translate it directly into improved cash

flow and profitability.

AI for sustainability and the circular economy

Perhaps the most forward-thinking First Wave application is the use of AI to solve

challenges outside a company's own four walls, particularly in advancing the

circular economy. The sorting of post-consumer waste is a major bottleneck for

recycling, so several industry leaders are now investing in AI-powered robotics to

precisely identify and recover their packaging from complex waste streams. The

examples below demonstrate investments in AI-powered robotics. These robotics

precisely identify and recover the packaging from complex waste streams. This

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