2024 Gartner® Market Guide for Packaging & Product Specification Management

• Technological Impediments: Inefficiencies in specification data quality and the lack of structured data management solutions impede organizations’ ability to utilize machine learning (ML) and AI to drive meaningful insights related to product development, optimization and forecasting regulatory impact on existing and future product portfolios.
• Regulatory Challenges: Regulatory requirements, legislation and costs of goods are exposing gaps and weaknesses in product and packaging specification data processes and practices.
• Sustainability Legislation: Growth in global sustainability legislation for manufacturers is exposing gaps in specification data management solutions, spec quality, completeness and accuracy that is forcing supply chain technology leaders and CIOs to seek solutions to meet compliance requirements.
• Outdated Processes: Many regardless of region, industry or size suffer from outdated or manual processes to manage specification data, resulting in growing strains on resources, cost overruns and risks of noncompliance.
• Underfunded Tools: Spec data tools and applications have suffered from being deprioritized and underfunded, with a general lack of awareness of the new capabilities in this space.

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