Ramin Rastin

There is a misconception in today’s market that digital transformation is about adopting new tools. It is not. It is

As organizations accelerate their adoption of AI, many quickly discover that experimentation is easy — scaling AI responsibly, reliably, and

Over the past few years, advanced data science and AI have moved from novelty to necessity across the supply chain.

AI has become a common topic in supply chain discussions, from demand forecasting and labor optimization to automation and real-time

Generative AI has moved quickly from research labs into boardroom agendas. Nearly every enterprise is experimenting with AI. Far fewer

Smart, connected logistics is no longer possible without artificial intelligence. As supply chains become more complex and margins remain tight,

For years, large retailers have used advanced AI to optimize their supply chains — not just to move goods faster

Various technologies and tools are involved in compounding, analyzing and processing accurate data, optimizing routes, predicting demand, and much more.

Key Elements of a Successful #AI StrategyBut first, please remember: AI ≠ silver bullet. It requires:Strong data engineering underpinningsCross-functional executionChange

The logistics and supply chain sector is ripe for transformation. As digital technologies evolve, artificial intelligence (AI) and machine learning