Look! Artificial intelligence is reshaping packaging printing
Artificial intelligence is reshaping the entire packaging and printing process, transforming everything from design and localized customization to printing operations and quality inspection. Major well-known consumer brands are leveraging artificial intelligence to accelerate creative design processes and achieve enterprise-level integrated management of graphic and text documents. Meanwhile, downstream printing processing companies are also embedding artificial intelligence into printing equipment systems, achieving automated color management and proactive defect prevention, achieving significant results in both quality and cost.
The results of implementation are outstanding. Relying on AI packaging design and printing automation solutions, the company can shorten packaging review and modification cycles by up to 95%, cut the time from design to finished product printing by 65%, and drop the rate of color defects by over 40%. These advantages are thanks to end-to-end AI platforms-not standalone tools, but integrated solutions that connect brands, printers, and production systems.
The following section will combine four major case studies to explain in detail how leading brands and their supply chain partners implement AI technology throughout the entire packaging process.
Kenvue:
Enterprise-level AI image and text document migration management
Since its spin-off from Johnson & Johnson Group in 2023, CoFiVits has been required to comprehensively update over 20,000 packaging graphic documents, strictly comply with regulatory requirements, and shorten product launch cycles. By leveraging digital transformation and AI technology for managing image and text documents, companies reuse reviewed compliance documents, significantly reducing repeated revisions and improving packaging adjustment efficiency by 95%. Previously, a single project required 8~10 rounds of revision, but now this process has been thoroughly optimized.
Packaging review time has been reduced from a full week to just a few hours; Within half a year, each employee's manual work hours were reduced by a total of 1,136 hours. Currently, companies also use digital twin technology to simulate packaging styles and production processes, identifying and resolving various issues before official printing.
ComfiWay's partner service provider is Kalik, a global leader in cloud enterprise image and tag management software. Its equipped AToM intelligent migration tool relies on artificial intelligence to extract, analyze, and standardize historical document label data, combined with AI quality inspection, compliance risk alerts, and deep learning technologies to achieve automatic content reuse and verification.
In addition, ComFiQuarter has reached a five-year strategic partnership with Microsoft, integrating Microsoft Azure AI and intelligent assistant platforms to achieve full automation of prepress processing and image approval, covering pre-inspection, compliance screening, label data consistency verification, and global product line packaging change management.
Coca-Cola:
AI runs through the entire design and printing process
Coca-Cola has long deployed multiple integrated AI systems. In 2025, the company will collaborate with Adobe to launch the Fizzion project, using generative AI to quickly complete packaging design creation and localization adaptation, meeting the language, culture, and regulatory requirements of different regions.
Relying on machine learning and predictive AI algorithms, the brand achieves unified color control in over 200 markets worldwide, with efficiency ten times higher than manual labor. The system can adjust design content in real time while ensuring a unified brand visual identity.
The HP Printing Operating System (PrintOS) is also fully integrated with AI tools, including:
Intelligent flow design software: manages variable data flows, directly imports database information such as names and design elements into HP digital printers to automatically generate differentiated tags;
AI-enhanced mosaic algorithm: Automatically completes image scaling, rotation, and cropping, generating batch files that can be directly printed on the computer, completely replacing manual design operations.
Reckitt:
AI process speed up by 30%, efficiently completing localized adaptation
In 2025, Genesis will launch a generative AI transformation project called Genesis, empowering digital marketing and production processes. AI-optimized workflows have increased material localization efficiency in global markets by 30%. Companies can complete full-chain content updates faster, ensuring localized packaging and printing quality in over 190 countries, with some creative solutions shortening production cycles by up to 60%.
In pilot projects, routine administrative and prepress workload reductions can reach up to 90%. Automated quality inspection tools can identify missing design elements and non-compliant parameters before production; Translation and format conversion tools can directly convert marketing proposals into standard documents, significantly reducing human errors during handover.
This project integrates multiple AI systems to connect the entire marketing and prepress chain, eliminating manual process bottlenecks:
Microsoft Azure + AI Large Model: Customized toolkits adapted to creative content in various regional markets, equipped with marketing insight generators and automatic material localization systems;
Data intelligence platform: Integrates massive data to support global large-scale material localization efforts;
Epam Intelligent Lab: Deploys agent AI tools in multiple locations worldwide to automate creative decision-making processes and build autonomous workflows.
Generative AI handles localized adaptation of packaging and advertising materials, with automated quality inspection tools pre-checking issues; The standard template for preset parameters also effectively avoids common mistakes in market implementation and technical parameter setting.
Unilever:
AI-powered design to print cycle shortened by 65%
After Unilever launched its AI packaging R&D system, the overall delivery cycle from design drafts to finished product printing was shortened by 65%. The company's self-developed platform, Sketch Pro, can be configured for different languages, regions, and inventory SKUs, generating thousands of packaging solutions in batches. What used to take weeks can now be done in just a few hours to produce standardized print files.
The entire process integrates multiple AI applications: NVIDIA's virtual collaboration platform builds 3D digital twin models for packaging, allowing verification of brand visuals and label information before printing; AI material prediction models analyze the performance of eco-friendly materials under printing and production conditions, eliminating the need for repeated trial and error on production lines. Create virtual materials based on high-precision digital files, replacing traditional physical photography to ensure that online visuals and printed products are completely consistent.
Printing and processing: AI empowers quality improvement, cost reduction, and waste reduction
AI technology applied by printing processing companies also creates multiple layers of value for upstream brands: improved color consistency across global supply chains, shorter product launch cycles, fewer quality complaints, and at the same time help both parties steadily achieve their sustainability goals. AI systems can shorten press test preparation time, avoid high reprint losses, and anticipate equipment failures in advance, creating benefits from multiple dimensions.
1. Automated color control
Many manufacturers have launched AI closed-loop color monitoring and real-time control systems, which can be either OEM solutions for printing equipment (such as Heidelberg Prinect systems) or third-party tools (such as the Assetli IntelliTrax2 scanning and color management system). These AI tools can autonomously learn and adapt to printing machine aging conditions, optimize color effects on site, and help brands unify ink and color standards across the complex global supply chain.
2. Digital printing automation and waste reduction
HP added the intelligent assistant Nio to the PrintOS platform, leveraging real-time data insights and predictive analytics to automate and optimize printing equipment and production processes. The system uses visual quality inspection and AI technology to accurately detect registration deviations, color shifts, and substrate defects online, and automatically complete corrections.
3. Online monitoring and adjustment of ink viscosity
Renex's InkSight AI online viscosity control system is widely used in flexograph, gravure, and corrugated printing equipment in the flexible packaging industry. The system achieves intelligent management of the entire ink process, featuring operating condition prediction and color stabilization functions. Viscosity errors can be controlled within ±1%, significantly reducing test machine waste. After applying it to American packaging companies and other companies, the color defect rate dropped by more than 40%.
These various solutions not only help printing companies reduce operating costs but also enable brands to achieve stricter quality control and faster achievement of sustainable development goals, without needing to build their own AI technology systems. Overall, AI solutions running across the entire packaging and printing industry chain will continuously create additional value for all participants in the industry chain.