Shifting from spend-based models to primary data positions companies as responsible actors and innovators ready to tackle the next generation of environmental challenges.

For all their importance to global supply chains, logistics activities generate considerable amounts of waste.

In finished vehicle logistics, perhaps the most impactful benefit of real-time location intelligence is its ability to modernize legacy processes through automation.

Exxon's planned facility would be the first natural gas power plant in the U.S. operating at a commercial scale with carbon capture technology.

Across industries, be it FMCG, medical, or automotive, companies with a vast, diverse product portfolio need to manage bills of materials for each product and variant.

Only 36% of manufacturers who acknowledge the critical importance of digital transformation have successfully integrated artificial intelligence (AI) into their operations, including in the R&D process.

Businesses are prioritizing agility, resiliency and sustainability, as they navigate rising transportation and freight costs, complexities in demand forecasting, and gaps in visibility. 

Grocery retailers are sitting on a wealth of data, from customer buying habits to inventory levels. Yet many still struggle to make effective use of it.

Understanding what makes an AI agent truly agentic, and integrating these models into their operations will be essential for retailers aiming to stay competitive and agile.

When used diligently, AI-driven product recommendations and content can also indirectly boost sales by enhancing customer engagement, satisfaction and brand relevance.