AI is reshaping everything
Artificial intelligence (AI) is reshaping the way industries engage consumers and patients, comply with regulations, optimise their supply chains and bring products to market efficiently. For companies producing, moving and selling goods, AI promises unprecedented speed, personalisation and efficiency.
Yet, its power depends on one critical factor: the quality and trustworthiness of the data it consumes. At this crossroads of consumer engagement, regulatory compliance and AI disruption, GS1’s role as a global standards organisation becomes more vital than ever for the organisations we serve.
Artificial intelligence is only as good as the data it consumes. Trusted identification and interoperable, machine-readable standards are the foundation that will allow AI systems to deliver accurate, meaningful and safe results. Without common identifiers, shared vocabularies and reliable data carriers, AI risks amplifying noise or misinforming critical decisions instead of unlocking knowledge.
“AI systems perform best when grounded in structured, verifiable and interoperable data. Industry standards for trusted identification such as those from GS1 support a more reliable foundation for AI to deliver safe, meaningful and scalable outcomes across sectors.”
— Yorke E. Rhoades III, Director, Strategy & Transformation | Traceability, Microsoft
GS1’s foundations of trusted identification and trusted data, as well as the interoperable industry solutions built on them sit at the heart of this transformation, providing the identifiers, standards and trust frameworks that can help to ensure AI delivers value to consumers, regulators and businesses alike.
In an AI-driven world, data is the currency of engagement, collaboration and compliance. Proof of data provenance, quality and integrity is the currency of trust. But raw data is not enough, only structured, interoperable and high-quality data can unlock AI’s full potential.
This report from GS1 Global looks at the global landscape of change through three different lenses:
- Consumer Engagement,
- Regulatory Compliance at Scale and
- the Package as the Platform.
Access the full report "The core relevance of trusted identification and data in an AI-driven world".
Consumer engagement
Consumers expect brands and retailers to anticipate their needs, provide instant answers and build trust through authenticity. AI enables this always-on engagement, but it is only as reliable as the product data behind it. A poorly structured or inconsistent dataset will misinform consumers, undermining brand trust.
“The new paradigms of agentic commerce will require increased trust in every step that is taken on the consumer’s behalf. Standards like those from GS1 are critical to identify products and ground the models.”
— Fabrice Caillette, Sr. Director of Engineering for Google Commerce, Google
Regulatory compliance at scale
Regulation is driving much of the urgency for smarter data exchange. AI accelerates both the challenge and the solution.
The package as the platform
Traditionally, packaging was a container, a vehicle for branding, marketing and distribution. In today’s digital economy, packaging has become the entry point to commerce, compliance and consumer trust.
Access the full report "The core relevance of trusted identification and data in an AI-driven world".
