Share:

AI and the Future of Supply Chains: How Leaders Move from Hype to Real Impact

Special Guest Blog Post written by Karin Bursa, Founder and CEO of NIRAKIO and Supply Chain Now Host 

 

Artificial intelligence is no longer a “what if” in supply chain — it is here. In fact, Gartner predicts that 50% of cross-functional supply chain management solutions will use intelligent agents to autonomously execute decisions in the ecosystem by 2030. But how do leaders move from hype to real impact? During our recent Supply Chain Now Power Panel, I asked five senior executives to share where they see AI making the biggest impact. Their answers revealed not just excitement, but a roadmap for how supply chains can evolve.

Here is how they responded, in their own words.

Q: Where do you see AI making the greatest impact in your supply chain?

Eliza Simeonova – VP Global Supply, Mars Pet Nutrition

“AI forces operational discipline. Clean data is no longer optional. The system itself demands it. I also see AI shaping supply chain synchronization — aligning suppliers, factories, warehouses, and customers in new ways.”

Whitney Shlesinger – VP Global Planning & Logistics, McCormick

“For me, it’s about people. Employees want to move beyond non-value-added work. AI allows us to free them up for strategic thinking, collaboration, and creative problem-solving.”

Sylvia Wilks – CSCO, Lamb Weston

“AI is an enabler for better forecasting, inventory optimization, and cash flow management. It’s about using analytics not just to see the future, but to improve working capital today.”

Stephanie Beal – CSCO, Hasbro

“We’ve rolled out tools like ChatGPT and Microsoft Copilot to every employee, and adoption has been phenomenal. We’re also applying AI to demand planning and strategy reviews. It is already a game-changer for decision-making.”

Tamera Fenske – CSCO, Kimberly-Clark

“The next stage is Agentic AI — not just seeing insights but offering recommendations. One use case we love is knowledge management: decades of tissue manufacturing expertise now searchable in seconds.”

Closing Thoughts

What I found remarkable is how each leader sees AI not as a replacement, but as an accelerator: of discipline, of creativity, of financial impact, and of decision-making.

Their perspectives highlight a bigger truth: AI won’t transform supply chains on its own. Leaders will. And as these executives showed, the future is not about replacing people — it is about empowering them.

Check out the full conversation in this on-demand link and let us know how you think AI will impact your supply chain. And join us for the next “Never Normal” Power Panel on January 7th- register here!

More Blogs

demand sensing
Blogs
March 3, 2026

Key Demand Sensing and Forecasting Use Cases Across Industries

Special Guest Blog Post written by Chris Cunnane with InterSystems   In a world defined by rapid market shifts, volatile supply chains, and unpredictable customer behavior, traditional forecasting methods often fall short. Relying primarily on historical data is no longer enough. To stay competitive, organizations are increasingly turning to demand sensing and forecasting, an approach that blends real-time data, advanced analytics, and AI to anticipate demand more accurately and respond faster to change. This shift is not limited to retail or manufacturing. Demand sensing is transforming how organizations across industries plan operations, allocate resources, and improve service levels. Below, we explore key industry use cases where demand sensing is delivering measurable value, and why businesses should care.   Why Demand Sensing Matters Demand sensing moves beyond static historical trends. It incorporates current, high-velocity data signals such as sales transactions, weather patterns, logistics feeds, economic indicators, and even social sentiment to generate short-term demand forecasts that reflect real-world conditions. The benefit is clear. Organizations gain better visibility and responsiveness across procurement, production, inventory, and distribution. Instead of reacting to outdated forecasts, they can make timely decisions that reduce costs, prevent stockouts, and improve customer satisfaction. FMCG, CPG, Retail, & E-Commerce Fast-moving…
data
Blogs
December 2, 2025

Top 10 Ways a Data Gateway Improves Time to Value Across End-to-End Supply Chains

Special Guest Blog Post written by Mark Holmes with InterSystems   Top 10 Ways a Data Gateway Improves Time to Value Across End-to-End Supply Chains Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, increase operational efficiency, and improve supply chain resilience can benefit from a supply chain data gateway. A data gateway provides unified access to supply chain data from various sources, including enterprise systems, supply chain applications, data feeds, data warehouses, data lakes, data marts, and business entities. Here are the top 10 ways a supply chain data gateway can improve your supply chain performance. Enables You to Identify Inefficiencies and Make Better and Informed Decisions A unified view of your data accelerates informed decision making and provides you with a comprehensive understanding of your supply chain. For example, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to identify inefficiencies and make better informed decisions. Reduces Implementation Times Enterprises and supply chain software providers strive to reduce application implementation times. A data gateway can serve as a front-end for a range of supply chain software applications, speeding and simplifying data ingestion, integration,…