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2026 Building an AI Advantage in Packaging Equipment

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Building an AI Advantage in Packaging Equipment, published by PMMI, examines AI adoption across the packaging industry, with insights into workforce enablement, machine performance, and data governance. Based on interviews with industry experts and secondary research, the report explores five key areas of AI adoption, and the steps companies are taking to build effective AI strategies and operational resilience.

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2026 Building an AI Advantage in Packaging Equipment

Why Download This Report?

  • Explore packaging machinery AI adoption trends
  • Explore machine vision defect-detection improvements and throughput impact on lines
  • See how knowledge transfer platforms accelerate operator training and retention
  • Gain a framework for developing an effective AI strategy in packaging operations
95%
PMMI survey found end users struggle to find skilled operators and technicians.
43%
Share of CPGs currently using predictive maintenance, per PMMI Challenges and Opportunities report.
90%
turnus.ai users report up to this reduction in response times to compliance enquiries.

Questions This Report Answers

  • How can industrial plants use artificial intelligence to capture tribal knowledge and train new machine operators?
  • What are the best practices for implementing AI-driven predictive maintenance across automated packaging equipment lines?
  • Can AI-powered machine vision reduce false defect rejections and improve throughput in high-speed packaging environments?
  • Which key factors determine whether manufacturers should build AI solutions in-house or partner with specialist vendors?
  • Why are packaging companies adopting automated AI tools to manage regulatory compliance and sustainability reporting requirements?

Published by PMMI in February 2026. Based on 14 in‑depth semi‑structured interviews with AI vendors, automation suppliers, packaging machine OEMs, system integrators, CPGs, and investment bankers, multiple company case studies, and secondary analysis of industry reports and PMMI survey data collected in 2025–early 2026.

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Questions?

Please contact Rebecca Marquez, Director, Custom Research, PMMI at rmarquez@pmmi.org