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A new supply chain dialogue is intensifying across social media, industry events, boardrooms, and through respected analyst and influencer voices like Bob Ferrari, Managing Director at Ferrari Consulting and Research Group.  

Sparked by a relentless wave of market disruptions from geopolitical tensions and port delays to demand volatility and supply shortages, this growing chorus is calling for a fundamental rethink of how supply chain planning gets done. The conversation is rapidly shifting beyond legacy tools and static processes, steering toward more adaptive, intelligence-driven strategies that can navigate uncertainty and deliver continuous value.

In his latest Supply Chain Matters commentary, “A Focus Toward New Generation Business and Supply Chain Planning Capabilities,” Bob Ferrari continues a vital conversation about how and why the industry must break free from outdated, deterministic planning methods.

This isn’t about incremental improvements. It’s about a foundational shift, a major leap forward in how businesses plan, adapt, and respond in a world where constant disruption is no longer the exception but the rule. It’s a call to reimagine supply chain planning itself: from a static, functionally siloed task to a dynamic, intelligence-driven, AI-powered enterprise-wide capability.

This is must-read material for any supply chain leader navigating today’s uncertainty.

Ferrari’s perspective is sharp and timely. He argues that traditional planning approaches built for a more stable, predictable world are not designed for today’s fast-moving, disruption-prone environment. And he's not wrong. Here are a few key takeaways from the post:

Planning Needs a Paradigm Shift

Ferrari urges a shift from functionally siloed decision-making toward end-to-end, cross-functional planning that is predictive, prescriptive, and collaborative. The complexity of today’s world demands faster, more intelligent decision-making across sales, operations, finance, procurement, and customer fulfillment. In other words, planning can’t just “keep up; it must anticipate.

From Spreadsheets to Scenario-Based Intelligence

Too many planners still spend hours wrangling spreadsheets when legacy planning systems fall short. Ferrari calls out the toll this takes, not just in lost time but in costly decision delay and burnout. He points to AI, machine learning, and agentic technologies as the tools that can free up planners to focus on higher-value work like solving root-cause disruptions or stress-testing plans under different conditions.costly decision delay and burnout. He points to AI, machine learning, and agentic technologies as the tools that can free up planners to focus on higher-value work like solving root-cause disruptions or stress-testing plans under different conditions.

The next generation of planning doesn’t eliminate the planner, it empowers them.

Scenario Modeling Is the New Must-Have

Whether it’s navigating tariff shifts, trade conflicts, or global events, Ferrari emphasizes the importance of planning systems that simulate multiple outcomes. This is no longer a luxury; it’s table stakes.

He references ketteQ’s customers Alliance Consumer Group (ACG) and quip as real-world proof points. These and a fast-growing list of other companies are turning to ketteQ’s adaptive planning solutions to move beyond rigid systems and enable collaborative, scenario-driven decisions that deliver measurable gains.

At ACG: “We love the opportunity to run multiple scenarios, examine sensitivities, and make informed decisions as a group.”
At quip: An AI-powered shift led to $17M in inventory reduction, improved fill rates, and greater agility in the face of hypergrowth.

The Future Is AI-Augmented, Not AI-Autonomous

One of Ferrari’s most important points: believing that supply chain planning can or should become fully autonomous, is a myth. The future is not about replacing human planners but augmenting them with systems that can think probabilistically, simulate trade-offs, and present better options faster. This is where technologies like ketteQ’s PolymatiQ™ agentic AI-powered solver stand out. They’re not just about faster calculations, they enable better and more confident decisions by empowering planners with thousands of possibilities, not just a single answer.PolymatiQ™ agentic AI-powered solver stand out. They’re not just about faster calculations, they enable better and more confident decisions by empowering planners with thousands of possibilities, not just a single answer.

A New Generation of Planning Is Taking Root

Bob Ferrari’s post is both a warning and a roadmap. If your supply chain planning still looks like it did five years ago, you may already be behind.

Fortunately, a new generation of leaders and solutions are stepping forward. Ferrari’s writing helps illuminate the way.

A big thanks to Bob Ferrari for continuing to cast a light on the future and elevate the conversation around what’s possible in supply chain planning.

Read the full commentary here and follow ketteQ on LinkedIn for more information.
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About the author

Matt Douglas
Matt Douglas
ketteQ EAB Member

Matt Douglas is a C-Suite Operations leader with deep Sales and Supply Chain expertise across PE-backed, Public and Family-owned technology companies. Matt also launched and built his own franchise business into the most profitable unit in the before selling it. He is passionate about leading teams to achieve what they initially did not think possible.  Matt credits his early career experience leading US Army soldiers in the Persian Gulf War for his leadership philosophy.

Matt is currently CEO of his own independent strategy and operations advisory firm and an advisory board member for ketteQ, a fast-growing supply chain solutions provider. From 2018 to 2023 Matt led global supply chain operations Crestron Electronics, Mini-Circuits and Netgear, helping them navigate the Covid-19 supply crisis and deliver record sales and profitability.  His prior leadership includes 8 years at Avaya (owned by Silver Lake and TPG) where he led global sales operations and 7 years at Celiant (owned by Pequot Ventures) acquired by Andrew Corporation. Matt’s leadership experience includes two successful IPO’s with initial market values between $1-2 billion, multiple M&A integrations and several large-scale consulting projects with Deloitte and Cap Gemini Ernst & Young.  

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