Norman Bodek

Special Guest Blog Post written by Karin Bursa, Supply Chain Industry Advisor and Supply Chain Now Host   Here is a diagnostic question I use with supply chain leaders: when disruption hits, do your teams spend most of their time debating the data, debating the scenarios, debating the plan, or debating the decision? Or all of the above? Seriously though, in 2026, that distinction matters. Network shifts driven by tariffs, geopolitics, cost pressure, and sustainability are accelerating. Gartner’s 2025 U.S. Trade and Immigration Policy Survey indicate 77% of respondents selected network changes among their top actions in response to tariff impacts. [2] If the physical network is moving, the digital planning platform must move even faster. The environment is forcing decisions to be made faster, more frequently, and with more variables than ever before. Gartner says supply chain decisions are becoming 71% more complex, happening 52% more frequently, and need to be made 57% faster. That triple constraint cannot be accomplished with cadence-based batch planning cycles as a default operating model. This is why I am focused on a single, practical outcome for supply chain teams: accelerating decision velocity. The ability to move from data to insights to actions faster…

Technology is advancing quickly and we all get to experience quick changes in innovation devices. It has become almost impossible today to do any job without using technology. Our lives are greatly influenced by technology, to an extent that from our daily chores at home to our professional jobs and interactions, everything is being affected by technology. What is AI? Artificial Intelligence refers to the ability of an advanced computer to perform operations normally executed by humans. To lay it out plainly, AI has human-like capacities regarding programming, however, it runs on significantly more impressive equipment. In contrast to people, smart machines can deal with huge amounts of information in real-time. AI Spring in Action The last few decades have witnessed the spring of AI. The dramatic surge in AI resulted from its progress in advanced neural networks NNs and genetic algorithms GAs from the ‘60s and ‘70s. For any organization planning to move ahead and succeed, integration of technology in its operation is a must. AI Incorporation Artificial Intelligence is now being incorporated by organizations all across the globe in a variety of ways, from robotizing a part of interacting with customers to deciding upon the products best suited…